EU Horizon2020 MSCA ITN ETN ACROSSING - ACROSSING | …ACROSSING] D1.1 - ESR... · EU Horizon2020 MSCA ITN ETN ACROSSING 01 January 2016 – 30 December 2019 Deliverable D1.1 Deliverable

This project has received funding from the European Union’s Horizon 2020 Research and Innovation Program, MSCA ITN ETN under grant agreement No 676157

EU Horizon2020 MSCA ITN ETN

ACROSSING

01 January 2016 – 30 December 2019

Deliverable D1.1

Deliverable Title ESR Recruitment Completion

Work Package WP1

Due Date Month 9 – September 2016

Dissemination Level Public

Main Author Markus Vincze, Liming Chen

Other Authors All partners

Status of the Document

Description Author Review Date

First draft Kerry-Louise Skillen Markus Vincze 25/04/2016

Second draft Markus Vincze Liming Chen 25/09/2016

Completed Version Markus Vincze Liming Chen 30/09/2016

Deliverable Summary

Deliverable D1.1 provides details of ESR recruitment process by each beneficiary, including a general description of the advertisement, selection and recruitment processes, and relevant recruitment information statistics as well as details of the recruited ESRs.

Ref. Ares(2016)5694631 - 30/09/2016

This project has received funding from the European Union’s Horizon 2020 Research and Innovation Program, MSCA ITN ETN under grant agreement No 676157

Disclaimer

The sole responsibility for the content of this publication lies with the authors. It does not

necessarily reflect the opinion of the European Commission. The European Commission is not

responsible for any use that may be made of the information contained there-in.

Copyright

This document may not be copied, reproduced, or modified in whole or in part for any purpose

without written permission from the ACROSSING Consortium. In addition, an acknowledgement of

the authors of the document and all applicable portions of the copyright notice must be clearly

referenced.

All rights reserved.

This document may change without notice.

| P a g e | 1 A C R O S S I N G D e l i v e r a b l e

ACROSSING (Advanced TeChnologies and PlatfoRm fOr Smarter ASsisted LivING)

Contents

1. DMU ESR Recruitment ..................................................................................................................... 5

1.1. Advertisement ............................................................................................................................. 5

1.2. Selection Process ....................................................................................................................... 5

1.3. ESR Details ................................................................................................................................. 6

1.3.1. ESR1 ................................................................................................................................... 6

1.3.2. ESR2 ................................................................................................................................... 6

1.3.3. ESR3 ................................................................................................................................... 6

1.4. Recruitment Documents ............................................................................................................. 6

1.4.1. Job Specification and Salary Range ................................................................................... 7

1.4.2. Person Specification .......................................................................................................... 13

1.4.3. Advertisement Text............................................................................................................ 19

1.4.4. Interview Questions ........................................................................................................... 25

2. PASSAU ESR Recruitment ............................................................................................................. 26

2.1. Advertisement ........................................................................................................................... 26

2.2. Selection Process ..................................................................................................................... 26

2.3. ESR Details ............................................................................................................................... 26

2.3.1. ESR4 ................................................................................................................................. 26

2.3.2. ESR5 ................................................................................................................................. 26

2.4. Recruitment Documents ........................................................................................................... 27

2.4.1. Job Specification and Salary Range ................................................................................. 27




3. UPM ESR Recruitment .................................................................................................................... 29

3.1. Advertisement ........................................................................................................................... 36


3.3. ESR Details ............................................................................................................................... 36

3.3.1. ESR6 ................................................................................................................................. 36

3.3.2. ESR7 ................................................................................................................................. 37






4. AIT ESR Recruitment ...................................................................................................................... 42



4.1. Advertisement ........................................................................................................................... 42


4.3. ESR Details ............................................................................................................................... 42

4.3.1. ESR8 ................................................................................................................................. 42

4.3.2. ESR9 ................................................................................................................................. 43






5. NOLDUS ESR Recruitment ............................................................................................................ 47

5.1. Advertisement ........................................................................................................................... 47


5.3. ESR Details ............................................................................................................................... 47

5.3.1. ESR10 ............................................................................................................................... 47






6. Philips ESR Recruitment ................................................................................................................ 50

6.1. Advertisement ........................................................................................................................... 50


6.3. ESR Details ............................................................................................................................... 50

6.3.1. ESR11 ............................................................................................................................... 50






7. TUW ESR Recruitment ................................................................................................................... 53

7.1. Advertisement ........................................................................................................................... 53


7.3. ESR Details ............................................................................................................................... 54

7.3.1. ESR12 ............................................................................................................................... 54








8. CERTH ESR Recruitment ............................................................................................................... 57

8.1. Advertisement ........................................................................................................................... 57


8.3. ESR Details ............................................................................................................................... 58

8.3.1. ESR13 ............................................................................................................................... 58






9. ISOIN ESR Recruitment .................................................................................................................. 63

9.1. Advertisement ........................................................................................................................... 63


9.3. ESR Details ............................................................................................................................... 63

9.3.1. ESR14 ............................................................................................................................... 63






10. Ulster ESR Recruitment ............................................................................................................. 72

10.1. Advertisement ....................................................................................................................... 72

10.2. Selection Process .................................................................................................................. 72

10.3. ESR Details ........................................................................................................................... 72

10.3.1. ESR15 ............................................................................................................................... 72

10.4. Recruitment Documents ........................................................................................................ 73





11. Appendices .................................................................................................................................. 77

11.1. ESR1 CV (not yet assigned) ................................................................................................. 77



11.2. ESR2 CV ............................................................................................................................... 78

11.3. ESR3 CV ............................................................................................................................... 80

11.4. ESR4 CV ............................................................................................................................... 82

11.5. ESR5 CV ............................................................................................................................... 83

11.6. ESR6 CV ............................................................................................................................... 84

11.7. ESR7 CV ............................................................................................................................... 86

11.8. ESR8 CV ............................................................................................................................... 89

11.9. ESR9 CV ............................................................................................................................... 90

11.10. ESR10 CV ............................................................................................................................. 91

11.11. ESR11 CV ............................................................................................................................. 92

11.12. ESR12 CV ............................................................................................................................. 93

11.13. ESR13 CV ............................................................................................................................. 95

11.14. ESR14 CV ............................................................................................................................. 95

11.15. ESR15 CV ............................................................................................................................. 97



1. DMU ESR Recruitment

ESR recruitment in DMU has been conducted by strictly following UK national regulations, EU recommendations and the recruitment strategy in the ACROSSING proposal. The process includes the following steps, namely 1) the creation of ESR positions based on the University’s internal procedures; 2) specify the responsibilities and duties of the post holders in the Job Specification and the capabilities, expertise and skills of the expected post holder in the Personal Specifications, based on the ACROSSING proposal and the proposed individual projects; 3) decide the advertisement text and advertisement channels based on EU H2020 MSCA rules aiming to cover as wider as possible regions; 4) coordinate and circulate the recruitment advertisement on explicit open and closing dates; 5) collect all applications on the closing date; 6) conduct shortlisting within two weeks after the closing date by a shortlisting panel; 7) conduct interview for shortlisted applicants with three weeks, and applicants will be ranked based on the criteria described in the ACROSSING proposal; 8) appoint ESRs based on the ranks.

If there is no enough number of high-quality eligible applications, steps 3 to 6 will be repeated to have another round of recruitment. If there is no enough number of appointable applicants, step 3 to 7 will be repeated to have another round of recruitment.

Each step of this process follows relevant, rules, either internal, UK national or EU level, guidelines and good practices.

1.1. Advertisement

Advertisement Open Date Close Date Where the position was advertised

Total Applications

Valid Applications

1st round 01/01/2016 15/02/2016 EURAXESS; UK jobs.ac.uk;

Academic Jobs EU.com; The Unijobs; De Montfort University recruitment page; ACROSSING project website; Prof Chen’s homepage

ESR1 (12)

ESR2 (4)

ESR3 (4)

ESR1 (12)

ESR2 (4)

ESR3 (4)

2nd

round 25/02/2016 06/04/2016 The same as above ESR1 (18)

ESR2 (9)

ESR3 (9)

ESR1 (18)

ESR2 (9)

ESR3 (9)

3rd

round 25/05/2016 03/07/2016 The same as above ESR1 (3)

ESR2 (2)

ESR3 (2)

ESR1 (3)

ESR2 (2)

ESR3 (2)

1.2. Selection Process

Selection Shortlisting Date Interview Date No. of Interviewees Date of Offer

1st round 17/02/2016 No interview NA NA

2nd

round 13/04/2016 12/05/2016 9 15/05/2016 (for 2, 1 rejected)

3rd

round 07/07/2016 11/07/2016 3 15/07/2016 (for 2)

* The qualified applications are less than the minimum number required. In this case no interview took place.

Qualified candidates have been invited to attend the interview in the following round of recruitment.



1.3. ESR Details

1.3.1. ESR1

Note, the recruitment not yet completed. This candidate will be assigned as soon as possible.

First Name Last Name Gender Nationality Date of Birth Start Date

1.3.2. ESR2


Sarah Fallmann F Austria 20/05/1990 01/09/2016

1.3.3. ESR3


Ismini Psychoula F Greek 23/10/1990 05/09/2016

1.4. Recruitment Documents

Include the relevant recruitment documents in the sections specified below.



1.4.1. Job Specification and Salary Range

1.4.1.1. ESR 1 Job Description















1.4.2. Person Specification

1.4.2.1. ESR1 Person Specification















1.4.3. Advertisement Text

1.4.3.1. ESR1 Advertisement Text













Note: The advertisement texts are slightly different in each round of recruitment, mainly the change of

closing date and also the salary range due to the change of exchange rate. Here are texts for the first.



1.4.4. Interview Questions

Question

Can you tell us what you know about the ACROSSING project?

What makes you the right candidate to be an early stage researcher? What skills can you apply to your chosen research area?

What research experience do you have in relation to conducting research in the ACROSSING context, or in general, within the area of healthcare/assisted living/smart environments?

Can you highlight any software development experience you have and how you have applied these skills to conduct your research?

What do you plan to do in the first 3 months or 6 months, or what is your research plan?

Have you produced any research publications or related outputs, or you have a couple of co-authored papers, how much did you contribute to for each paper?

Can you tell us about a time where you were required to work collaboratively with other researchers or independently, give examples?

Are you willing to undertake further training and professional development through your early stage research career, as appropriate?

Are you willing to work out of core working hours and travel abroad, sometimes alone and independently for the purposes of the research?

Is there anything that you would like to ask us?



2. PASSAU ESR Recruitment

General descriptions on your recruitment practice e.g. advertised online, panel interview etc.

2.1. Advertisement

Advertisement Open Date Close Date

Where the position is advertised Total Applications

Valid Applications

1st round 15 Jan 2016 15 Febr

2016 Homepage University of Passau in cooperation with www.jobware.de specifically selected online portals, from the field engineer and information technology,

+ www.academickeys.com,

+ www.indeed.co.uk

~15 ~15

2nd

round 16 Feb 2016 31 May 2016

Homepage University of Passau in cooperation with www.jobware.de specifically selected online portals, from the field engineer and information technology,

+ www.academickeys.com,

+ www.indeed.co.uk

~15 ~15

3rd

round 22 April 2016

31 May 2016

www.academic.positions.eu ~15 ~15



1st round

2nd

round

3rd

round

2.3. ESR Details

2.3.1. ESR4


Giovanni Schiboni male Italian 28 April 1984 1 July 2016

2.3.2. ESR5


http://www.jobware.de/

http://www.academickeys.com/

http://www.indeed.co.uk/

http://www.jobware.de/

http://www.academickeys.com/

http://www.indeed.co.uk/

http://www.academic.positions.eu/








The Chair of Sensor Technology at the University of Passau invites applications for the post of

Research Assistant/doctoral candidate

in ubiquitous computing with applications in personalised healthcare

– Marie Skłodowska-Curie Fellowship for doctoral research –

to start 1 July 2016. Although initially limited to a period of one year, it is planned that the contract be renewed to cover the full doctoral research duration. The post is a full-time position, remunerated according to the EU Marie Skłodowska-Curie Fellowship regulations.

Intended duties of the research assistant include:

Participate in research projects. The successful candidate will conduct research in sensor technology and pattern-recognition algorithms for personalised healthcare applications. The ACTLab research group focuses on activity and context recognition as well as sensor technology. More details on the Chair’s research activities and projects is available from the contact person below and on the ACTLab group website, www.actlab.uni-passau.de.

Objectives: This project investigates the potential of novel sensors for in-home dietary monitoring. Specifically, it shall be investigated how ultra-low power radar using antenna arrays as well as thermal sensors can be wall/ceiling integrated. Transducer design variants and source separation methods will be considered for the extraction of information representing dietary behaviour: specifically, food preparation and consumption. An incremental sensor design and evaluation methodology is planned, where prototypes are first evaluated with healthy individuals and later on with elderly dementia patients, who often forget their diet schedule. Accuracy, robustness in continuous operation, and installation variants will be assessed.

Scientific publications and doctoral thesis. Prepare scientific publications in leading conferences and journals in the field. The doctoral candidate should defend their thesis within three to four years of doctoral research.

Contribute to educational activities of the Chair. Educational activities include leading undergraduate and (post-)graduate students in projects and contributing to teaching in accordance with the fellowship regulations on career development.

Personal development. The position is intended to allow the candidate to further develop his/her scientific, technical, management and transferable skills, both on-the-job and in dedicated courses.

Qualifications sought: The successful candidate will have a master’s degree in electrical/com-puter/biomedical engineering or computer science, with a strong background in one or more of the following fields, evidenced by their academic record, previous project experience and ideally by first publications: electrical and biomedical engineering, electronics, 3D printing, pattern recognition and control theory. Moreover, the candidate must have experience in time-series analysis and relevant programming tools (e.g. Python, Matlab).

Eligibility for the Marie Skłodowska-Curie Fellowship: Early-Stage Researchers (ESRs) shall, at the time of recruitment by the host organisation, be in the first four years (full-time equivalent research experience) of their research careers. Full-Time Equivalent Research Experience is measured from the date when a researcher obtained the degree which would formally entitle him/her to embark on doctoral study, either in

http://www.actlab.uni-passau.de/



the country in which the degree was awarded, or in the country in which the researcher is recruited or seconded, irrespective of whether or not a doctorate is or was ever envisaged.

This position is open to researchers of any nationality.

The University of Passau wishes to increase its number of female academic staff and thus would like to encourage women to apply for this post. Applicants with disabilities are given preference if their overall personal aptitudes and qualifications are otherwise equal. To apply, send your documents in a single pdf file to Professor Oliver Amft, Chair of Sensor Technology at the University of Passau ([email protected]), by no later than 31 May 2016.

Once the application process has been completed, we will retain your application on file for five months before deleting it from our computer systems.


Question

mailto:[email protected]




3. UPM ESR Recruitment

UPM recruitment process comprised the advertisement process and the selection process that follow Spain’s and UPM’s regulations and EU recommendations. We run a set of three rounds of offers’ advertisement that took place between November 15

th 2015 to February 15

th 2016, February 15

th 2016 to April 15

th 2016 and

April 15th 2016 to June 15

th 2016, respectively. Advertisements were published on three main sites: (1)

EURAXESS portal; (2) Madri+d portal; and (3) LifeSTech UPM Research Group Web page; (see images below of the published advertisements).

After the first round of advertisement, we started the selection process. This process comprised the following steps: (1) collect all applications after the application deadline; (2) conduct shortlisting within two weeks after the application deadline by PIs and co-supervisors; (3) conduct interviews with candidates and ranked them based on the criteria described in the ACROSSING proposal; (4) appoint ESRs based on ranks.

If there were no high-quality eligible and appointable applicants and we did not complete the selection process, we would conduct another round of advertisement and a new round of selection. Three rounds of selection in total were conducted to complete the selection process.



EURAXESS advertisement

EURAXESS ESR06 and ESR7 advertisements



EURAXESS ESR06 advertisement



EURAXESS ESR07 advertisement



Madri+d advertisement

Madri+d ESR06 advertisement (a)

Madri+d ESR06 advertisement (b)



Madri+d ESR07 advertisement (a)

Madri+d ESR07 advertisement (b)



LifeSTech UPM research group Web page advertisement

LifeSTech UPM Web page ESR06 and ESR07 advertisement (a)

LifeSTech UPM Web page ESR06 and ESR07 advertisement (b)



3.1. Advertisement

Advertisement Open Date

Close Date


Valid Applications

1st round 15 Nov

2015 15 Feb 2016

EURAXESS (http://ec.europa.eu/euraxess/)

Madri+d (http://www.madrimasd.org/investigacion-empresas/empleo-idi)

LifeSTech UPM Web Page (www.lst.tfo.upm.es)

17 12

2nd

round 15 Feb 2016

15 April 2016




3 3

3rd

round 15 April 2016

15 June 2016




2 1



1st round 23 Feb 2016 04 April 2016 (email) 5 04 April 2016

2nd

round 14 April 2016 05 May 2016 (skype) 3 05 May 2016

3rd

round 17 June 2016 24 June 2016

(skype)

1 24 June 2016

3.3. ESR Details

3.3.1. ESR6


José Gabriel Teriús Padrón Male Venezuelan 12 August 1983 October 2016 ( visa delay)

http://ec.europa.eu/euraxess/

http://www.madrimasd.org/investigacion-empresas/empleo-idi


http://www.lst.tfo.upm.es/











3.3.2. ESR7


Nikolaos Liappas Male Greek 25 June 1990 01 September 2016


The relevant recruitment documents are included in the next sections.


Job Specifications for ESR06

One post for a 3-year research position in the framework of a 3-year PhD doctoral programme addressing the theoretical, as well as experimental, aspects of "Towards personalized in-home self-management and intervention for patients with a major cardiac event" at the UPM-LifeSTech group (Universidad Politecnica de Madrid) under the ACROSSING Marie Sldodowska-Curie European Training Network (ETN). The ESR will be registered at a PhD doctoral programme, developed in the area of active aging, wellbeing and independent living (Research Line on "Cardiac rehabilitation") and it will result in a PhD degree awarded by the Universidad Politecnica de Madrid (SPAIN). The ESR will have to undertake studies and experiments at other partners’ facilities within the ACROSSING ETN

This project aims to develop underlying technologies for personalised home-based self-management and intervention for cardiac patients using novel HCI techniques and user-centred design principles. Specifically the project will develop 1) wearable sensing methods for vital sign and behavioural monitoring; 2) home-based follow-up rehabilitation and self-management approach and methodologies based on patients’ and specialists’ needs; 3) modelling and analysis methods of patients’ behaviour and physiological data to detect patients conditions and changes; 4) a mechanism for personalised and adapted intervention in terms of user profiles and rehabilitation performance including environments, e.g. a smart phone app, a home application and health professionals application.

Expected Results:

Sensing and monitoring design for cardiac patients.

Rehabilitation and self-management approach and methodologies.

Methods for modelling and analysing patients’ behaviour and physiological data.

Personalised intervention mechanisms.

Planed Secondments:

1st: De Montfort University (DMU), UK, to develop knowledge and skills about context awareness and behaviour analysis.

2nd: Universität Passau, Germany, to understand embedded sensor systems and develop sensing methods for project.

3rd, 5th: Stichting ORBIS Zorgconcern (ORBIS), Netherlands, to understand chronic disease self-management and conduct evaluation.

4th: Institute of Information Science and Technologies (ISTI), Italy, to establish knowledge about system evaluation processes and apply to the project.

Job Specifications for ESR07

One post for a 3-year research position in the framework of a 3-year PhD doctoral programme addressing the theoretical, as well as experimental, aspects of "A virtual reality enabled adaptive interaction for cognitive rehabilitation for People with Mild Cognitive Impairment" at the UPM-LifeSTech group (Universidad Politecnica de Madrid) under the ACROSSING Marie Sldodowska-Curie European Training Network (ETN). The ESR will be registered at a PhD doctoral programme, developed in the area of active aging, wellbeing and independent living (Research Line on "Cognitive rehabilitation") and it will result in a PhD degree awarded by the Universidad Politecnica de Madrid (SPAIN). The ESR will have to undertake studies and experiments at other partners’ facilities within the ACROSSING ETN.



This project will develop a Virtual Reality (VR) based adaptive interface for CR of people with Mild Cognitive Impairment (MCI) and early stage AD. Specifically it will 1) investigate the acceptance and technological barriers of the emerging 3D technologies (e.g. Wii control, 3D TVs, Kinect) for MCI/AD patients; 2) create patient cognitive models and design monitoring and interaction mechanisms in a VR facility, in the context of VR cognitive training exercises; 3) develop algorithms for personalised and adaptive in-home cognitive rehabilitation based on interactions and cognitive performance analysis; 4) implement and evaluate the VR based interface and associated models and methods using the UPM’s Smart House Living Lab with potential real users through pilot trials.

Expected Results:

MCI / AD patient and new interface/interaction technology analysis.

Cognitive models and VR based monitoring and interaction mechanisms.

VR interaction and cognitive performance analysis algorithms and adaptation methods.

System usability and performance validation

Planed Secondments:

1st: Istituto Nazionale di Riposo e Cura Per Anziani (INRCA), Italy, to engage with early-stage AD patients to establish their characteristics and needs.

2nd: Centre for Research and Technology Hellas / Information Technologies Institute (CERTH/ITI), to investigate the use of visual analytic techniques for cognitive rehabilitation analysis.

3rd: De Montfort University (DMU), UK, to investigate the use of existing context awareness and behaviour analysis technologies.

4th: The Accord Group (ACCORD), UK, to test the usefulness of the system with possible end users.

Salary Range

The salary range of each position is between: 26.000 – 27.000 Euros per year.


3.4.2.1. Applicant Profile for ESR06

Master' s degree, preferably with distinction (or international equivalent) in Bioengineering, Telecommunications, Informatics or a closely related discipline;

Good knowledge/demonstrated awareness of fundamental aspects of context awareness and behaviour analysis, embedded sensor systems, wearable sensors, system evaluation.

Ability to work in a laboratory environment and undertake experimental research.

Good knowledge/demonstrated awareness of programming skills.

Excellent analysis skills and an analytical mind-set, as well as excellent communication skills, including written.

Ability to work independently and as a member of a research team.

Ability to review and engage with interdisciplinary studies.

English language proficiency. If you have not graduated in a country where English is the first language then you will need to demonstrate your English proficiency.

3.4.2.2. Applicant Profile for ESR07

Master' s degree, preferably with distinction (or international equivalent) in Bioengineering, Telecommunications, Informatics or a closely related discipline;

Good knowledge/demonstrated awareness of fundamental aspects of visual analytic, context awareness, behaviour analysis, virtual reality.

Ability to work in a laboratory environment and undertake experimental research.

Good knowledge/demonstrated awareness of programming skills (Python or similar).

Excellent analysis skills and an analytical mind-set, as well as excellent communication skills, including written.

Ability to work independently and as a member of a research team.

Ability to review and engage with interdisciplinary studies.



English language proficiency. If you have not graduated in a country where English is the first language then you will need to demonstrate your English proficiency.


The UPM’s Telecommunications Engineering School, is looking for TWO self-motivated Early Stage Researchers (ESR) to undertake research and development on active ageing and assisted living within the EU H2020 Marie Sklodowska-Curie ITN ACROSSING project. These posts are open to all nationalities all over the world.

ACROSSING combines the efforts of a multi-disciplinary network of 26 leading European research groups, industry partners, and user organisations, to develop an open SH technology infrastructure and train 15 ESRs across sectors on concepts and methodologies of SHs towards the PhD. To achieve this, ACROSSING designs 15 topically complementary research projects covering the four core SH research areas, i.e. sensing, context inference, human system interaction and service based infrastructure, and four main SH application categories, i.e. independent living with cognitive impairments, self-management of chronic diseases, wellbeing and empowerment of the elderly.

Universidad Politecnica de Madrid (UPM) is the oldest and largest Spanish technological university as well as a renowned European institution. The dynamism of R+D+I activity at the UPM, together with the transfer of knowledge to society, is among its lines of strategy. Under FP7, UPM currently holds 51 Marie Curie projects and has employed 48 fellow researchers. Life Supporting Technologies (LifeSTech), where the 2 ESRs will be based, is a research, development and innovation group at UPM’s Telecommunications Engineering School (ETSIT). The group is part of Madrid’s Moncloa Campus of International Excellence. It is one of the main Spanish research groups in the field of e-Health.

The 2 ESRs hosted in Universidad Politecnica de Madrid will be responsible for developing novel approaches, architectures, technologies and tools to enable and support active aging, wellbeing and independent living. They will each undertake research in a well-defined individual research project – refer to the individual project descriptions, ESR06 and ESR07 in the ACROSSING website – and will be integrated to an experienced research and innovation group. In addition to this, they will also contribute to network-level research activities, technology and system integration, deliverables, event organisation and public engagement for dissemination and impact.

The ESRs will be required to undertake PhD studies and must fulfil the requirements of the university's doctoral training programme. They will have opportunities to visit other network partners for secondments, and attend the research and training events of the network. All costs will be fully funded by the EU MSCA programme which also offers highly competitive and attractive salary and working conditions.

The Marie-Curie eligibility requirements, Job Specs and Person Specs for these posts can be found in the Eligibility and Vacancies pages in the Recruitment Section of the ACROSSING project website.

To apply, please contact Rebeca I. García Betances [email protected]. Please quote the post reference project number to which you would like to apply.

http://www.upm.es/

http://www.etsit.upm.es/index.php/es/

http://www.acrossing-itn.eu/



http://www.acrossing-itn.eu/?q=node/3




ESR06 and ESR07 Recruitment Advertisement




Question

Why did you choose to study this career?

Is it what you expected from your studies? Do you think that you took the right decision?

Why do you want to have a PhD?

Are you determined to finish it?

What is your experience? What have you done so far? What is your technological knowledge in this field?

Have you ever done something similar to the proposed ESR? What are your programming skills?

What is your experience in research activities? Any scientific publication?

Tell us 3 good aspects of your personality

Tell us 2 aspects that you consider you should improve or you are already improving

Why Spain?



4. AIT ESR Recruitment

AIT recruitment has been conducted by strictly following the AIT regulations based on Austrian regulations and related EU recommendations. The process includes the following steps:

1) the creation of the ESR position based on AIT’s internal procedures;

2) specifying the responsibilities and duties of the post holders in the Job Specification and the capabilities, expertise and skills of the expected post holder in the Personal Specifications, based on the ACROSSING proposal and the proposed individual projects;

3) decide the advertisement text and advertisement channels based on EU H2020 MSCA rules aiming to cover as wide as possible regions;

4) coordinate and circulate the recruitment advertisement;

5) collect all applications and conduct a selection of appropriate candidates;

6) conduct interviews for shortlisted applicants and rank applicants based on the criteria described in the ACROSSING proposal;

7) if no suitable candidate can be found, repeat steps 3) to 6)

8) appoint ESRs based on the ranks.


4.1. Advertisement



Valid Applications

1st round 1.12.2015 31.3.2016 AIT Website, findmyphd.com,

Euraxess website, Acrossing website

11 10

2nd

round

3rd

round



1st round 15.3.2016 February 2016 5 22.3.2016

2nd

round 16.5.2016 May 2016 2 28.5.2016

3rd

round

4.3. ESR Details

4.3.1. ESR8


Erinc Merdivan M Turkey 22.10.1986 1.9.2016



4.3.2. ESR9


Deepika Singh F India 05.07.1989 1.9.2016




Job Specification: self-motivated Early Stage Researchers (ESR) to undertake research and development on AAL and smart home systems within the EU H2020 Marie Sklodowska-Curie ITN ACROSSING project

Description of the job as given in ESR8 and 9:

AAL middle ware frameworks and human behaviour pattern recognition based on smart home sensor data

Phd enrollment: Yes.


Knowledge in software development, post preferable Java

Knowledge in state-of-the-art software development paradigms

Knowledge in machine learning and pattern recognition

Fundamental maths skills


ESR08 PhD Enrolment Yes Start Date June-September 2015 Duration 36 Months

Host Organisation

AIT Austrian Institute of Technology GmbH, Austria

Location Wiener Neustadt / Vienna, Austria

Project Title Self-adaptation and auto-configuration of probabilistic graphical models for SH and AAL applications

Objectives

(no more than 200 words)

Currently, smart home applications are mostly rule based and not dynamic and therefore do not adopt automatically to the user's needs. Future smart home services shall be capable of self-learning and self-adaptation for different application scenarios. As such, it must be capable of learning and predict human behaviour based on environmental sensor data. For reaching this goal, systems must be able to learn human behaviour in an unsupervised way from spatial-temporal data.

The project will develop 1) a novel mechanism for learning human behaviour based on




spatial-temporal environmental sensor data 2) model based prediction of behaviour using probabilistic graphical model approaches and dynamical self-adaptation of the models 3) algorithms for combining time, location and additional sensor data to provide individually-tailored information to the users in real-time; 4) implementation and evaluation in real-world settings.

Expected Results

A software module for learning human behaviour

automatic generation probabilistic graphical model (probabilistic finite state machine)

Dynamic data collection and fusion algorithms.

Validation and evaluation of the modules

Planned Secondments

1st: De Monfort University, UK, to gain knowledge on SH assisted living, Activities of Daily Living (ADL) monitoring and recognition.

2nd

: Association Parkinson Madrid, Spain, to gain insights on user requirements, ethical and social considerations in Smart Home applications.

3rd

: Noldus Information Technology BV, The Netherlands, to acquire knowledge on sensors, smart objects and sensor networking.

4th: Zuyderland, The Netherlands, to test and evaluate technologies with real users in the Living Village context.

How to Apply

(link, e-mail, etc.)

The post advertisement, including eligibility requirements, Job Specs and Person Specs can be found in the Recruitment Section of the ACROSSING project website.

To apply, follow instructions in the AIT online application page.

For further details or enquiries please contact the AIT Human Resources Dr Sten Hanke on +43 (0)664 8251358 or email [email protected].

Please quote the post reference number to which you would like to apply.

ESR09 PhD Enrolment Yes Start Date June-September 2015 Duration 36 Months

Host Organisation

AIT Austrian Institute of Technology GmbH, Austria

Location Wiener Neustadt / Vienna, Austria

Project Title Development of a modular platform and universal services for efficient recognition of human behaviour

Objectives

For real world problems in human behavior detection modular frameworks with universal interfaces are required. The aim of this work is to provide a modular concept for a framework for multi-modal and multi-hierarchical detection of human behavior. Among






(no more than 200 words)

others, the two key approaches used will be particle filtering methods and detection of temporal-spatial patterns in streams of data.

Particle filtering methods are a very general and useful framework for estimating the dynamic internal state of a complex, nonlinear stochastic system when the parameters are known.

For practical applications running on non-specialized machines, the optimal usage of resources is essential for computationally intensive applications. One approach is the use of OpenCL to gain access to hundreds or thousands of additional processing units already present on many graphics cards.

The behavior pattern recognition framework shall be built upon an existing Smart Home framework. The implementation will be evaluated on use cases based on ACROSSING application areas and embedded into a modular platform which is itself embedded into a cloud based architecture supporting the web of modular platforms concept.

Expected Results

A reference implementation of a MCMC framework using OpenCL

Implementation of reference real-world scenarios

Evaluation and demonstration of the above.

Planned Secondments

1st: Zuyderland, The Netherlands, to acquire user requirements and evaluate the infrastructure

2nd

Ingenieria Y Soluciones Informaticas Del Sur, Sociedad Limitada, Spain, investigate the integration of personalisation and adaptation technologies

3rd

: De Montfort University, UK, investigate the integration of data modelling, exchange, management services.

4th: The Institute of Information Science and Technologies, Italy to establish knowledge about system evaluation processes and apply to the project.

How to Apply

(link, e-mail, etc.)


The candidate should not have resided or carried out her/his main activity in Austria for more than 12 months in the 3 years immediately prior to her/his appointment.

For further details or enquiries please contact the AIT Biomedical Systems office via [email protected] or Dr Sten Hanke on +43 (0)664 8251358 or email [email protected].

Please quote the post reference number to which you would like to apply.


Question

What do you know about AAL?

What is your current research focus?

What is your knowledge in machine learning?

How many publications do you have?







What is your knowledge about smart home technologies?

What are your programming skills?

Are you willing to undertake further training and professional development through your early stage research career, as appropriate?

Are you fine with moving to Austria for 3 years and are you willing to travel abroad for trainging events and traineeships?



5. NOLDUS ESR Recruitment

NOLDUS has advertised the vacancy for ESR10 on multiple places such as their own website, advertisment portals Euraxess, FindaPhd.com and AcademicPositions, on computer vision related LinkedIn groups and Facebook pages, and on dedicated mailing lists [email protected], [email protected], [email protected]. Responses (151) were filtered by HR department to see if they meet requirements and then send to the PI Elsbeth van Dam. Good candidates(4) were invited for a skype interview with 2 persons (Elsbeth van Dam and Andrew Spink, NOLDUS). If they passed the interview they were asked to send an example of code and a written essay or thesis to estimate their coding and writing skills. If this was acceptable, the 2 references were consulted and they had a skype interview with their future academic supervisors from Utrecht University, Prof. R. Veltkamp and Ass. Prof. R. Poppe. Only one candidate passed and was invited to come to the Netherlands for a live 2 hour interview with L.Noldus (director NOLDUS), Elsbeth van Dam and R. Poppe (8 July 2016).

5.1. Advertisement



Valid Applications

One on-going round

Nov 2015 July 2016 See above 151 4 good candidates



One ongoing round

- 7 March 2016, 14 March 2016, 30 May 2016 (1

st

interview Georgios Kapidis), 24 June 2016

4 8 July 2016

5.3. ESR Details

5.3.1. ESR10


Georgios Antonios

Kapidis Male Greek April 26 1990 12 September 2016




Vacancy number: 2015-ACROSSING

Location: Wageningen, The Netherlands PhD enrollment: Utrecht University, The Netherlands

Contact person: Elsbeth van Dam Period: 36 months

The ACROSSING project

ACROSSING is an innovative research training network funded by the EU H2020 Marie Curie program which aims to change the way millions of the older people in Europe and around the world live, are cared, and manage their conditions and maintain wellbeing. In this network of 10 organizations, 15 PhD students will work together on the development of advanced technologies for smarter assisted living, making a critical contribution towards an open smart home (SH) technology






infrastructure by interlinking disciplines from sensing technologies, context inferences and interaction, to service infrastructures, and considering key principles of social impact, ethics, security and privacy.

For a complete overview of this project see www.acrossing-itn.eu. For company information, please check: www.noldus.com.

PhD position

You will work towards a PhD on person tracking and monitoring in Smart Homes, based on data retrieved from a mobile camera mounted on the subject’s body in combination with other worn sensors. Object detection can help to determine the context of the situation. The final aim is to develop methods to detect and classify a range of behaviors and events, such as social interaction, loneliness, falls and changes caused by mild stroke, and finally to integrate these methods into Noldus’ software.

You will be employed at Noldus Information Technology BV in Wageningen, The Netherlands for 3 years. Scientific supervision of the project will also be provided by Prof. dr. Remco Veltkamp (Department of Computer Science, Utrecht University), where you will be enrolled as a PhD. student.

You will be employed as an Early Stage Researcher according to Marie Curie EID regulations, which offer excellent employment conditions including a high base salary (approx. € 38.000 per year) and additional benefits such as education and allowances for mobility. The duration of the employment will be 36 months in total.


Your profile

University degree (M.Sc. level) in computer science or similar. Substantial knowledge of mathematics as well as computer programming (e.g. Matlab, C++, C#,

Java) We will provide additional training in software engineering and application development. Knowledge/experience with computer vision, machine learning and signal processing is an

advantage.

You are willing to move to The Netherlands for the duration of the project.

You are a creative and pro-active person who likes to work independently, with a strong drive and perseverance to accomplish a challenging mission.

Marie Curie ITN regulations

You have not yet been awarded a doctorate degree and are still within the first four years (full-time equivalent) of your research career (i.e. after completion of university education), at the time of appointment.

You must not have resided or carried out research in The Netherlands for more than 12 months in the 3 years immediately prior to recruitment.


Above two sections and:

Are you ready for this challenge?

If the answer is yes, and you qualify for the position, please send your application letter and your curriculum

vitae including two referees as a Word or PDF file to [email protected], Attn: Nathalie Oostendorp. Technical

questions about the positions can be addressed to Elsbeth van Dam, Research Engineer (+31-317-473300)

if you have any questions about this position. More information on our company and products can be found

at www.noldus.comengineering


http://www.noldus.com/

http://www.findaphd.com/search/EmailEnquiry.aspx?fapjid=45540&LID=2488&[email protected]

http://www.noldus.com/




Question

Tell us something about yourself and why you applied for this job.

What are the most important qualities for a successful PhD?

Would you prefer an academic or an industrial career?

How do you handle criticism?

Are you a more a team player or do you prefer to work independently?



6. Philips ESR Recruitment


Philips has an HR department that manages recruitment. As a vacancy arises a request is logged in WorkDay, our online, digital HR management system. A vacancy description was created and uploaded to the Philips HR Portal and also Euraxess. And also on the ACROSSING web site.

All applicants sent in CVs to David Walker. These were then reviewed and selected prospective candidates were invited to participate in a telephone interview. If the candidate was successful at this stage he, or she, would be invited to visit and spend a day at Philips Research in Cambridge. This would entail meeting the team here, a formal interview and Q&A session. The candidates also spend some time with staff who have also recently completed a PhD.

Finally the successful candidate is offered the position.

6.1. Advertisement



Valid Applications

1st round November

2015 February 2016

http://www.philips.com/a-w/careers.html and http://ec.europa.eu/euraxess/# and http://www.acrossing-itn.eu/

21 20

2nd

round June 2016 July 2016 http://www.philips.com/a-w/careers.html and http://ec.europa.eu/euraxess/# and http://www.acrossing-itn.eu/

16 16

3rd

round



1st round February 2016 March 2016 3 candidates

interviewed by phone and one visited Cambridge

23 May 2016 (offer declined)

2nd

round July 2016 July 2016 visits of 2 candidates 3rd

August 2016

3rd

round

6.3. ESR Details

6.3.1. ESR11


Rick Van Veen Male Nedtherlands March 23 1990 21 November 2016



http://www.philips.com/a-w/careers.html











Philips Research Laboratories, Cambridge, UK

Marie Skłodowska-Curie Early Stage Researcher (ESR)

Full Time, Fixed Term: 36 months

Start Date: July - September 2016

Annual Salary: The annual gross salary is at least £31,000 plus mobility allowance according to the guidelines of the Marie Sklodowaska-Curie Actions.

The ACROSSING training network aims to develop advanced technologies and platforms for smarter assisted living by combining research expertise and capabilities of 10 partners from 6 European countries. Total 15 ESRs will be recruited and each will conduct research on a specific but closely related research area. The ESR hosted at Philips Research will be responsible for developing new techniques to determine the mental health of people living in smart homes by analysing data from body worn and environmental sensors.


To be successful in this role you should:

have a good honours first degree or relevant master degree in Computer Science or Engineering.

be fluent in English.

Having knowledge and understanding of cognitive decline and dementia

Strong communication and interpersonal skills, with the ability to build strong personal relationships at all levels, both internal and external to Philips Research and with ACROSSING partners

Self-manager, coordination and facilitation skills.

Team worker in multidisciplinary settings.

Academic combined with an entrepreneurial mindset.

Mobile for long-term secondments in Europe


Philips Research Laboratories, Cambridge, UK

Marie Skłodowska-Curie Early Stage Researcher (ESR)



Annual Salary: The annual gross salary is at least £31,000 plus mobility allowance according to the guidelines of the Marie Sklodowaska-Curie Actions.

Philips Research in Cambridge is part of the global Philips Research Organisation. The Chronic Disease Management group in Cambridge is responsible for research into the monitoring of people living at home with long term conditions. This has been focussed on physical health and is now developing systems to help people in need of mental health care and providing support for their formal and informal carers.

The post will be in close collaboration with the University of Leicester, UK, who will award the PhD.

The ACROSSING training network aims to develop advanced technologies and platforms for smarter assisted living by combining research expertise and capabilities of 10 partners from 6 European countries.



Total 15 ESRs will be recruited and each will conduct research on a specific but closely related research area. The ESR hosted at Philips Research will be responsible for developing new techniques to determine the mental health of people living in smart homes by analysing data from body worn and environmental sensors.

To be successful in this role you should:

have a good honours first degree or relevant master degree in Computer Science or Engineering.

be fluent in English.

Having knowledge and understanding of cognitive decline and dementia

Strong communication and interpersonal skills, with the ability to build strong personal relationships at all levels, both internal and external to Philips Research and with ACROSSING partners

Self-manager, coordination and facilitation skills.

Team worker in multidisciplinary settings.

Academic combined with an entrepreneurial mindset.

Mobile for long-term secondments in Europe

Applicants must be, at the time of recruitment by the host organization, in the first four years (full-time equivalent) of their research careers and have not yet been awarded a doctoral degree. This is measured from the date when they obtained the degree which would formally entitle them to embark on a doctorate, either in the country in which the degree was obtained or in the country in which the research training is provided, irrespective of whether or not a doctorate is envisaged.

At the time of appointment, the applicant may not have resided or carried out her/his main activity in the country of the hosting partner (The UK) for more than 12 months in the 3 years immediately prior to her/his appointment.

For more details please contact David Walker: [email protected]

Closing date:15th Feb. 2016


Question

Questions around working in a team and working on your own

Technical questions on previous work

Why do you want to do a PhD?

What do you feel about working in the UK and Cambridge?

Asked about interests outside of work

Asked about any experience of dementia and elderly care




7. TUW ESR Recruitment


TUW recruitment has been conducted by strictly following the TU Wien regulations based on Austrian regulations and related EU recommendations. The process includes the following steps:

1) The creation of the ESR position based on the University’s internal procedures;

2) Specifying the responsibilities and duties of the post holders in the Job Specification and the capabilities, expertise and skills of the expected post holder in the Personal Specifications, based on the ACROSSING proposal and the proposed individual projects;

3) Decide the advertisement text and advertisement channels based on EU H2020 MSCA rules aiming to cover as wide as possible regions;

4) Coordinate and circulate the recruitment advertisement;

5) Collect all applications and conduct a selection of appropriate candidates; there is no cut-off dates and in previous projects it was experienced to immediately contact excellent candidates to increase chances to not lose them to competing institutions;

6) Conduct interviews for shortlisted applicants and rank applicants based on the criteria described in the ACROSSING proposal;

7) If no suitable candidate can be found, repeat steps 3) to 6)

8) Appoint ESRs based on the ranks.


7.1. Advertisement

Advertisement Open Date Where the position is advertised Total Applications

Valid Applications

1st round 23.9.2015 MCSA-official site;

euRobotics [email protected];

World robotics

17 17

2nd

round 17.2.2016 MCSA-official site;


World robotics

16 16

3rd



Austrian vision list: [email protected]

World robotics

26 26

4th



Austrian vision list: [email protected]

World robotics

20 20














Selection Suitable candidates Interview Date No. of Interviewees Date of Offer

1st round Dina Youakim 18.12.2015 2 18.12.2015

2nd

round Esen Yel 28.4.2016 2 28.4.2016

3rd

round Andreas Pfeufer 20.5.2016 2 23.5.2016

4th

round 4:

Catarina Pinto

Mohammad Loghmani

Ki-Ru Park

Prabhu Chalikonda

9.6.2016

14.6.2016

15.6.2016

15.6.2016

2

2

2

2

9.6.2016

15.6.2016

7.3. ESR Details

7.3.1. ESR12


Mohammad Reza

Loghmani Male Italian/Iranian 8.6.1992 12.9.2016



Job Specification: self-motivated Early Stage Researchers (ESR) to undertake research and development on service robotics for active ageing and assisted living within the EU H2020 Marie Sklodowska-Curie ITN ACROSSING project

Description of the job as given in ESR12:

Robot Gaming Strategies to Enhance Older Adults’ Wellbeing and Quality of Life


Start Date: June-September 2016.

Duration: 36 Months.

Host Organisation: Technische Universität Wien, www.acin.tuwien.ac.at, v4r.acin.tuwien.ac.at, Austria

Location: Gusshausstr. 27/376, 1040 Wien, Austria

Project Title: Robot Gaming Strategies to Enhance Older Adults’ Wellbeing and Quality of Life.

Objectives: The robotic embodiment from the FP7 HOBBIT project (http://hobbit.acin.tuwien.ac.at/) has shown that older adults remain more active, socially integrated, show fewer symptoms of depression, and are in a better physical condition by exploiting active robot behaviours. Built upon these findings this project will 1) investigate the elementary (psychological, social, cognitive and emotional) needs of older adults with depression and stress conditions; 2) design playful user robot interaction models and mechanisms to create a longer term activation of the person’s well-being and self-efficacy; 3) develop corresponding games which empower users’ engagement and are joyful experiences, 4) carry out a multivariate evaluation into the effect of the interactions in order to motivate the user to satisfy their physiological needs, and thus help to increase well-being and levels of activity of older adults.

Expected Results:

Use-case evaluation of multiple interaction modalities.


http://www.acin.tuwien.ac.at/

http://hobbit.acin.tuwien.ac.at/



Multivariate behaviour analysis of the concrete game scenarios.

Personalised gaming strategies to create intrinsic user motivation.

Reference implementation and evaluation with patients suffering depression or stress.

Planned Secondments:

1st: EAAD (European Alliance Against Depression), to understand the psychological, social and emotional needs of depression patients.

2nd: MLAB (Metralabs GmbH), to gain knowledge and insights into industrial robotic technologies and products.

3rd: WLMHT (West London Mental Health Trust), to obtain knowledge on other mental diseases, and investigate technology reuse.

4th: AAF (Academy of research on Aging at the Haus der Barmherzigkeit), to test and evaluate the robot-human interaction technologies in real end user groups.

How to Apply:


For further details or enquiries please contact Prof Markus Vincze at email [email protected]

To apply, please send full CV and selected best papers or Master thesis to Prof Markus Vincze at email [email protected].

Salary Range: 38-40.000 Euro


Background of candidate: Master of Science degree in Electrical, Mechanical engineering or computer science or a similar qualification

Specific knowledge and documented experience in

3D vision, machine learning, computer vision, and/or manipulation

Very good oral and written English

Excellent computing skills

Experience with ROS, C++, Linux

We expect capability to work in teams and to work independently towards defined research goals.


Text for Calls 1 to 3:

Open position in Marie Skłodowska-Curie ITN Early Stage Researcher

Technische Universität Wien, Automation and Control Institute, Vision for Robotics Laboratory, Prof. Markus Vincze, Gusshausstrasse 27/376, 1040 Wien, Austria, Europe



Annual Salary: ~ € 40.000 (Salary of an Early Stage Researcher according to Marie Curie EID regulations, which offer excellent employment conditions including a high base salary (approx. € 38.000 per year) and additional benefits such as allowances for travel, mobility and education.)

Applications are received any time.

Technische Universität Wien, Automation and Control Institute, Vision for Robotics Laboratory is looking for a self-motivated Early Stage Researchers (ESR) to undertake research and development on service robotics







for active ageing and assisted living within the EU H2020 Marie Sklodowska-Curie ITN ACROSSING project (http://www.acrossing-itn.eu/).

Technische Universität Wien has a longstanding, internationally recognised reputation on research, innovation and entrepreneurship. The Automation and Control Institute, Vision for Robotics Laboratory (ACIN-V4R) where the ESR12 will be based is an interdisciplinary research group with extensive research expertise in robotics, machine vision, service and health-care robots, visual perception and human-robot interaction. V4R is particularly active in making robots see, bringing robots out into industrial and home settings, and developing concepts to help older adults stay active.

The Marie-Curie eligibility requirements, Job Specs and Person Specs for these posts can be found in the Eligibility and Vacancies pages in the Recruitment Section of the ACROSSING project website:


The ESRs will be required to undertake PhD studies and must fulfil the requirements of the university's doctoral training programme. They will have opportunities to visit other network partners for secondments, and attend the research and training events of the network. All costs will be fully funded by the EU MSCA programme which also offers highly competitive and attractive salary and working conditions.

Vienna is continuously winning awards as best city to live in. For example, check out http://www.worldcapitalinstitute.org/makciplatform/2015-vienna-austria .

To apply, please send full CV, computer vision or machine vision experience, and selected best papers or Master thesis to Prof Markus Vincze at email [email protected]

For further details or enquiries please contact Prof Markus Vincze at email [email protected]

Technische Universität Wien is committed to an inclusive culture and respecting diversity, and welcomes

applications from all sections of the community.

This text was altered for the 4th Call:

Dear colleagues,

The Vision for Robotics lab at the Automation and Control Institute, Technische Universität Wien, is offering a PhD position in robot vision for service robotics for active ageing and assisted living.

The position is within the Marie Sklodowska-Curie Initial Training Network "ACROSSING" (http://www.acrossing-itn.eu/).

Details on recruitment can be found here:


You will be Early Stage Researcher ESR12: Robot Gaming Strategies to Enhance Older Adults’ Wellbeing and Quality of Life.

In your PhD you will investigate how robot learning for object recognition and manipulation can be posed within gamified user interaction scenarios tailored to older adults, to support deployment and high user acceptance of assistive robots in real world environments.

Annual Salary: approx. € 40.000

Early Stage Researcher salary according to Marie Sklodowska-Curie regulations of approx. € 38.000 plus additional benefits such as allowances for travel, mobility and education.

Full time employment, fixed term 36 months.

Start date: July - September 2016

Technische Universität Wien has a longstanding, internationally recognised reputation on research, innovation and entrepreneurship. The Automation and Control Institute, Vision for Robotics Laboratory

(ACIN-V4R) where the ESR12 will be based is an interdisciplinary research group with extensive research expertise in robotics, machine vision, service and health-care robots, and human-robot interaction. V4R is particularly active in making robots see, bringing robots out into industrial and home settings, and developing concepts to help older adults staying active.

And last but not least, Vienna is officially the best place to live






http://www.worldcapitalinstitute.org/makciplatform/2015-vienna-austria







(https://www.imercer.com/content/mobility/quality-of-living-city-rankings.html)

To apply, please send full CV, computer vision or machine vision experience, and selected best papers or Master thesis to Dr. Michael Zillich at email [email protected]


Questions

Why did you apply to this position?

How does your background relate to the points listed in the job specification?

Present in more detail your work related to computer vision, machine and robot vision and similar fields.

Discuss in more detail your work in robotics and related projects.

Present your experience in computing, different computer languages plus specific experience.

Did you work with ROS or similar frameworks integrating robotic systems?

What do you consider are your personal strength and weaknesses?

Have you been in Vienna before? How do you feel about going to be in Vienna for three to four years?

What questions to you have to us regarding the employment, project, Vienna, TU Wien, the group or other issues?

8. CERTH ESR Recruitment


CERTH recruitment has been conducted by strictly following the CERTH regulations based on Greek regulations and related EU recommendations. The process includes the following steps:

1) specifying the responsibilities and duties of the post holders in the Job Specification and the capabilities, expertise and skills of the expected post holder in the Personal Specifications, based on the ACROSSING proposal and the proposed individual projects;

2) decide the advertisement text and advertisement channels based on EU H2020 MSCA rules aiming to cover as wide as possible regions;

3) coordinate and circulate the recruitment advertisement;

4) collect all applications and conduct a selection of appropriate candidates;

5) conduct interviews for shortlisted applicants and rank applicants based on the criteria described in the ACROSSING proposal;

6) if no suitable candidate can be found, repeat steps 2) to 5)

7) appoint ESR based on the ranks.

Each step of this process follows relevant, rules, either internal, Greek national or EU level, guidelines and good practices.

8.1. Advertisement

Advertisement Open Date Close Date Where the position is advertised

Total Applications

Valid Applications

1st round 23/12/2015 30/06/2016 Official websites of CERTH and

CERTH-ITI

Official ACROSSING website

6 6

https://www.imercer.com/content/mobility/quality-of-living-city-rankings.html




EURAXESS website

2nd

round 22/09/2016 7/10/2016 Official websites of CERTH and CERTH-ITI

Official ACROSSING website

EURAXESS website


Selection No. of Candidates Interview Date No. of Interviewees Date of Offer

1st round 6 13 May 2016

19 May 2016

20 May 2016

20 May 2016

4 25/5/2016 (to candidate #1)

8/7/2016 (to candidate #2)

2nd

round In progress

During the 1st round of the selection process, six candidates applied for the ESR13 position, as shown in the

table above. All candidates were contacted so as to be interviewed, however, two applicants informed that they were not interested in the position because of the selection of another position and therefore did not attend an interview. The rest of applicants were interviewed through teleconference so as to provide further information on their activities and knowledge on the issues of signal processing, information retrieval with data mining & machine learning, Knowledge on sensor data acquisition, Experience working with IoT techniques.

Following the interviews, the candidates were ranked as shown in the table above, on the basis of their documented experience and its relevance to the position requirements. The first two candidates (#1 and #2) had a research background relevant to the ESR13 position requirements and therefore formulated the final suitable candidates list of the process, given the limited relative experience of the rest two candidates. Following the ranking of the candidates #1 and #2, candidate #1 was selected to be offered the ESR13 position. However, due to personal reasons, the candidate did not accept the position. Due to the withdrawal of the first applicant, the second one was selected according to its provided experience (publications, C/C++ experience, etc.) in the ESR13 topic. However, the second applicant refused to sign the offered contract. CERTH was informed on this by the applicant in September 2016.

The selection process was executed by a Committee formulated by two internal members from CERTH and two external members (two professors from two Greek Universities).

Following the above, CERTH initiated a second round for the selection process, which is currently in progress. The 2

nd round advertisement has been circulated and the deadline for applications on this is on the

7th of October 2016.

8.3. ESR Details

8.3.1. ESR13







Job Specification: self-motivated Early Stage Researchers (ESR) to undertake research and development on signal processing & IOT in the context of the EU H2020 Marie Sklodowska-Curie ITN ACROSSING project)

Description of the job as given in ESR13:

Automatic monitoring and detection of activities of daily living (ADLs) within Home Environments


Start Date: June-September 2016.

Duration: 36 Months.

Host Organisation: Centre for Research and Technology Hellas / Information Technologies Institute

Location: Thessaloniki, Greece

Project Title: Automatic monitoring and detection of activities of daily living (ADLs) within Home Environments

Objectives: Responding to the needs for patient (focusing on them with Dementia & Parkinson's disease) and elderly-dedicated environments, currently there is a strong focus on assisted living solutions and the development of more sophisticated monitoring systems in order identify and classify activities of daily living (ADL) and learn the habits of supervised subjects. Furthermore, because of the complexity of mental conditions (both in terms of their pathogenesis and the variety of resulting symptoms), comprehensive sensing approaches must be integrated that can cover and significant part of the user’s behaviour and lifestyle.

Specifically, this project (as a continuation of other previous projects in CERTH/ITI (e.g. national project Ennoisis) will investigate the use of wireless acoustic and motion sensor networks for daily activity monitoring and automatic activity recognition within Smart Home Environments of elder patients. Therefore, a combination of sensors will be used to detect an individual’s activities at home.

Thus, the ESR will develop a) a smart audio-based sensing network, b) acoustic signal processing methods and activity recognition algorithms, c) a novel automatic trajectory-based activity detection framework to recognize activity patterns and user profiles, d) associated technologies and a prototype for evaluation by real users (e.g. AKTIOS, UPM living lab environments).

Expected Results:

A smart audio sensing prototype (integrated to a Socket and working together with the other integrated sensors)

Acoustic signal processing methods and daily activity detection algorithms based on the combination of integrated sensors (acoustic, motion),

A trajectory based activity pattern recognition framework with associated user modeling methods,

Technologies and software prototype for demonstrator 1.


1st AKTIOS S.A, Greece, to get insights and data about the daily habits of patients.

2nd Universidad Politecnica De Madrid, Spain, to gain insights in the indoor location-based services for AAL and investigate its use.

3rd De Montfort University, UK, to jointly develop activity modeling and recognition algorithms.

4th AKTIOS S.A, Greece, to get insights and data about the daily habits of patients and final evaluation.

How to Apply:


To apply for the position, please provide:

- a letter of motivation (maximum one page) explaining how your research interests, skills and experience are relevant to the position.



- a detailed CV.

- your completed eligibility form.

Names and contact details of three referees willing to write confidential letters of recommendation.

To apply: Visit http://www.certh.gr/jobs.el.aspx or www.iti.gr/iti/events to complete an online application.

Or email the following application materials to: Dr. Dimitrios Tzovaras: ([email protected]) and Dr. Votis Konstantinos ([email protected]).

Annual Salary Range: approx.. 34.000,- Euro


Background of candidate: Engineering - Computer engineering Degree, Master degree on ICT related field

Required experience for the position

Must

Knowledge on programming languages (C, C++), Be able to travel around Europe Research experience, Fluency in English, Experience in research publications Abstract analysis skill, Conceptual thinking

Desirable

Audio signal processing Information retrieval with data mining & matching learning Knowledge on sensor data acquisition Experience working with IoT techniques Experience working in multi-cultural environments


Project Title: Automatic monitoring and detection of activities of daily living (ADLs) within Home Environments (in the context of the Marie Curie-ITN ACROSSING project in CERTH/ITI premises and in collaboration with AUTH or DMU University)

Objectives: Responding to the needs for patient (focusing on them with Dementia & Parkinson's disease) and elderly - dedicated environments, currently there is a strong focus on assisted living solutions and the development of more sophisticated monitoring systems in order identify and classify activities of daily living (ADL) and learn the habits of supervised subjects. Furthermore, because of the complexity of mental conditions (both in terms of their pathogenesis and the variety of resulting symptoms), comprehensive sensing approaches must be integrated that can cover and significant part of the user’s behaviour and lifestyle.

Specifically, this project (as a continuation of other previous projects in CERTH/ITI (e.g. national project Ennoisis) will investigate the use of wireless acoustic and motion sensor networks for daily activity monitoring and automatic activity recognition within Smart Home Environments of elder patients. Therefore, a ombination of sensors will be used to detect an individual’s activities at home. Thus, the ESR will develop a) a smart audio-based sensing network, b) acoustic signal processing methods and activity recognition algorithms, c) a novel automatic trajectory-based activity detection framework to recognize activity patterns and user profiles, d) associated technologies and a prototype for evaluation by real users.

Expected Results:

- A smart audio sensing prototype (integrated to a Socket and working together with the other integrated sensors)

- Acoustic signal processing methods and daily activity detection algorithms based on the combination of integrated sensors (acoustic, motion),

- A trajectory based activity pattern recognition framework with associated user modeling methods,

- Technologies and software prototype for demonstration.


AKTIOS S.A, Greece, Universidad Politecnica De Madrid, Spain, De Montfort University, UK,





Research Fields

Engineering -Computer engineering

Eligibility criteria

Successful candidates must adhere to the following eligibility criteria:

- At the time of recruitment by the host beneficiary (CERTH/ITI), the candidates must not have resided or carried out their main activity (work, studies, etc.) in the country of their host beneficiary (Greece) for more than 12 months in the 3 years immediately prior to their recruitment under the project. Compulsory national service and/or short stays, such as holidays, are not taken into account.

- At the time of recruitment by the host beneficiary (CERTH/ITI), the candidates should be in the first four years (full-time equivalent research experience) of their research careers. This is measured from the date when they obtained the degree which formally entitles them to embark on a doctorate.

- At the time of recruitment by the host beneficiary (CERTH/ITI), the candidates should have not been awarded a doctoral degree.

Experience for the position

Must

Engineering - Computer engineering Degree, Master degree on ICT related field

Knowledge on programming languages (C, C++), Be able to travel around Europe Research experience, Fluency in English, Experience in research publications Abstract analysis skill, Conceptual thinking

Desirable

Audio signal processing Information retrieval with data mining & matching learning Knowledge on sensor data acquisition Experience working with IoT techniques Experience working in multi-cultural environments

Recruitment Process

- To apply, suitable candidates are requested to submit (in English):

1. A Curriculum Vitae, including contact details,

2. Scanned copies of the degree certificates, if available at the time of application.

Note that the applications shall be submitted exclusively via email sending the requested documents to Dr. Dimitrios Tzovaras ([email protected]) and Dr. Votis Konstantinos ([email protected]). Please also note that candidates should be willing to be contacted by phone during the entire selection process.

- Application Deadline: 7th October 2016

Programme Description

International mobility required ? yes

Eligible destination country/ies for fellows

Greece

Eligibility of fellows: country/ies of residence

Any country

Eligibility of fellows: nationality/ies Any nationality

Website of Fellowship Programme http://www.acrossing-itn.eu



Fellowship's Details

Career Stage Early stage researcher or 0-4 yrs (Post graduate)

Research Profiles Early stage researcher

Employment contract with full social security

Yes

Total amount per fellowship per year 34,590 €

Currency euro

Covers salary yes

Covers travel and subsistence yes

Covers research costs yes

Maximum duration of fellowship Up to 36 months


Question

Why did you apply to this position?

How does your background relate to the points listed in the job specification?

Present in more detail your work related to technologies for assistive living in smarthomes, acoustic signal processing, pattern recognition and human activity monitoring

Discuss in more detail your work in assisted living technologies and related projects.

Present your experience in computing, different computer languages plus specific experience.

What do you consider are your personal strength and weaknesses?

Have you been in Thessaloniki or Greece before? How do you feel about going to be in Thessaloniki for three to four years?

What questions to you have to us regarding the employment, project, Thessaloniki, CERTH, the group or other issues?



9. ISOIN ESR Recruitment

The recruitment process carried out by Isoin was done in several stages from the definition of the PhD possition offer in several websites to the interview stage in which the candidates that suited all the requirements and passed the preliminary online test were interviewed.

Recruitment process:

1. Definition of the PhD possition.

2. Publishment of the offer.

3. Recruitment:

a. Study of every single application.

b. Shortlisting the applications based on experience, research experience, number of publications, studies, working experience…

c. Interviews:

i. 16PF questionaire

ii. Human Resources Interview

iii. Technical interview

The PhD posstion was published in the following organizations: University of Seville, Eures, Euraxess and empleate.gob.

The first interviews were done using videoconferences. All along this process, the PhD candidates were interviewed for all the deparment involved such as Human Resources and Innovation and Technology deparment. The last interviews were made in situ in Seville.

9.1. Advertisement



Valid Applications

1st round 01/11/2015 31/12/2015 University of Seville, EURES,

Euraxess and empleate.gob ESR14 (9) ESR14 (3)

2nd

round 01/01/2016 15th

Feb. 2016

Euraxess, Infojobs (2) (1)

3rd

round 16/02/2016 15/03/2016 Infojobs (1) (0)



1st round 31/12/2015 11th March 3 11/11/2015

2nd round 15/02/2016 11th March 1 04/01/2016

3rd round 15/03/2016 - 0 16/02/2016

9.3. ESR Details

9.3.1. ESR14


Eduardo Manuel Silva Machado Male Portuguese 08/06/1991 16/08/2016






Recruitment organisation: Ingeniería y Soluciones Informáticas del sur, S.L. (ISOIN)

Role: PhD student position in artificial intelligence in the frame of a Marie Skłodowska-Curie Early Stage Researcher (ESR)

Employment details,

Location: Seville, Spain.

The candidate will work within the innovation and technology department and will directly report to the department director.

Research fields: computer science, artificial intelligence, internet of the things, semantic enable objects, patterns recognition.

Contract: Full-time temporary employment. The position is limited to a maximum 36 months.

Salary: According to Marie Curie fellowship’s rule, aproximately. 26.350€ yearly plus up to €1100 per calendar month mobility/family allowance depending on family status.

ISOIN is a Spanish company operating in the new technologies sector. We offer innovative solutions in the fields of engineering and business. We help our customers manage their operations and business processes more efficiently and improve their competitiveness. We offer our services in a flexible, adaptable and transparent way throughout the full life cycle of each project. Our presence in Spain and Colombia strengthens our position in our global socio-economic environment and facilitates the development of multiple international partnerships. We offer our products and services in various sectors in our national markets, as well as on an international level. Both public and private organizations rely on us to support them as a solutions provider in each of the sectors we operate in.

ACROSSING will make a critical contribution towards an open smart home (SH) technology infrastructure by interlinking disciplines from sensor technology and integration, context inferences, and interaction, to service infrastructures, and considering key principles of social impact, security and privacy.

Within the ACROSSING, this position will support (1) Personalisation and Adaptive Interaction (develop, implement and evaluate methods and technologies for automatic and dynamic personalisation and adaptation of user interactions to reduce the barriers of using SH solutions) and (2) Sensing and Monitoring Technology (develop, implement and evaluate multimodal ambient sensing technologies, based on acoustic, thermal, and radio reflection modalities. It will specially focus on the new wave of emerging sensing concepts.)

This specific project will investigate generic technologies for the personalisation and adaptation of user interfaces and content presentation in real time in terms of the users’ needs and preferences, environmental context through sensor data acquisition and service capabilities. It will develop

a) Semantic IoT sensor models, including functionalities, sensors discovery and data acquisition enabling simulation of SH context, b) semantic user models, including representation and management facilities, e.g. storage, retrieval and adaptation, c) classifier algorithms based on usage data to detect user profiles and associated methods for personalising and adapting both user interfaces and service content delivery, d) a cloud-based platform enabling personalisation, adaptation and IoT sensors interaction services with an infrastructure that can easily be customised and used by any SH applications for interface and content personalisation and adaptation.



Requirements


Technical Requirements Must Desirable

Requirement Evaluation

Questionnaire 16PF1 Interview Documentation

Knowledge on Semantic model creation and implementation

X X X

Knowledge on RDF (Resource Description Framework)

X X X

Information retrieval with datamining & matching learning

X X X

Java X X X

Phyton X X X

R X X X

Knowledge on sensor data acquisition

X X X

Experience working with IoT techniques

X X X

Personal Requirements

Abstract analysis skill X X X

Conceptual thinking X X X

Independent on information search

X X X

Others

Be able to travel around Europe X X

Research experience X X

Fluency in English X X X

Experience in research publications

X X

Master on ICT related field X X

Experience working in multi- X X

1 https://en.wikipedia.org/wiki/16PF_Questionnaire



cultural environments.


Recruitment organisation: Ingeniería y Soluciones Informáticas del sur, S.L. (ISOIN)

Role: , PhD student position in artificial intelligence in the frame of a Marie Skłodowska-Curie Early Stage Researcher (ESR)

Employment details,

Location: Seville, Spain.

The candidate will work within the innovation and technology department and directly report to the department director.

Research fields: computer science, artificial intelligence, internet of the things, semantic enable objects, patterns recognition.

Contract: Full-time temporary employment. The position is limited to a maximum 36 months.

Salary: According to Marie Curie fellowship’s rule, aproximately. 26.350€ yearly plus up to €1100 per calendar month mobility/family allowance depending on family status.

ISOIN is a Spanish company operating in the new technologies sector. We offer innovative solutions in the fields of engineering and business. We help our customers manage their operations and business processes more efficiently and improve their competitiveness. We offer our services in a flexible, adaptable and transparent way throughout the full life cycle of each project. Our presence in Spain and Colombia strengthens our position in our global socio-economic environment and facilitates the development of multiple international partnerships. We offer our products and services in various sectors in our national markets, as well as on an international level. Both public and private organizations rely on us to support them as a solutions provider in each of the sectors we operate in.

ACROSSING will make a critical contribution towards an open smart home (SH) technology infrastructure by interlinking disciplines from sensor technology and integration, context inferences, and interaction, to service infrastructures, and considering key principles of social impact, security and privacy.

Within the ACROSSING, this position will support (1) Personalisation and Adaptive Interaction (develop, implement and evaluate methods and technologies for automatic and dynamic personalisation and adaptation of user interactions to reduce the barriers of using SH solutions) and (2) Sensing and Monitoring Technology (develop, implement and evaluate multimodal ambient sensing technologies, based on acoustic, thermal, and radio reflection modalities. It will specially focus on the new wave of emerging sensing concepts.)

This specific project will investigate generic technologies for the personalisation and adaptation of user interfaces and content presentation in real time in terms of the users’ needs and preferences, environmental context through sensor data acquisition and service capabilities. It will develop

a) Semantic IoT sensor models, including functionalities, sensors discovery and data acquisition enabling simulation of SH context, b) semantic user models, including representation and management facilities, e.g. storage, retrieval and adaptation, c) classifier algorithms based on usage data to detect user profiles and associated methods for personalising and adapting both user interfaces and service content delivery, d) a cloud-based platform enabling personalisation, adaptation and IoT sensors interaction services with an infrastructure that can easily be customised and used by any SH applications for interface and content personalisation and adaptation.

Requirements



Technical Requirements Must Desira

ble

Requirement Evaluation

Questionnaire

Interview

Documentation

Knowledge on Semantic model creation and implementation

X X X

Knowledge on RDF (Resource Description Framework)

X X X

Information retrieval with datamining & matching learning

X X X

Knowledge on programming languages X

X

Knowledge on sensor data acquisition

X X X

Experience working with IoT techniques X X X

Personal Requirements

Abstract analysis skill X X

Conceptual thinking X X

Independent on information search X X

Others

Be able to travel around Europe X X

Research experience X X

Fluency in English X X X

Experience in research publications X X

Master on ICT related field X X

Experience working in multi-cultural environments.

X X

Eligibility:

Early-Stage Researchers (ESRs) shall, at the time of recruitment by the host organisation, be in the first four years (full-time equivalent research experience) of their research careers. Full-Time Equivalent Research Experience is measured from the date when a researcher obtained the degree which would formally entitle him/her to embark on a doctorate, either in the country in which the degree was obtained or in the country in which the researcher is recruited or seconded, irrespective of whether or not a doctorate is or was ever envisaged.

Nationality: This position is open to researchers of any nationality.

To apply send your resume and cover letter to [email protected] and complete the questionnaire on: www.isoin.es/marie.curie2016.


http://www.isoin.es/marie.curie2016



Failing on properly complete and send all the information will result on the rejection of the candidacy.

For further information contact with [email protected]

Closing date ----------- Midnight, 15th Feb. 2015


Question

General questions about their resumes (high studies, international experience, research experience…)

What do you know about Marie Curie grants and, in particular, about Acrossing project?

What skills can you apply to this project and how do you expect to match them to this research area?

Do you have any special motivation to research in this area? Which one?

What would you do at the beginning of your research? How would you plan this?

Do you have any research publication?

Have you worked collaboratively? Which role did you play in that team? What suits you more: to work independently or collaboratively?

Are you used to do activities alone or in group? In general, how would you depict yourself in daily activities?

What do you think about the secondments? Do you like to change your work environment? Have you been abroad only for working purposes?


Besides this interview questions, it is also provided the online test that the potential ESRs had to pass to go on with the interviews stage.

1. What is an Ontology?

a. Ontologies are a means to formally model the structure of a system.

b. An ontology is a formal naming and definition of the types, properties, and interrelationships of the entities that really or fundamentally exist for a particular domain of discourse.

c. Ontology is the study or concern about what kinds of things exist - what entities or `things' there are in the universe.

d. All of the above

2. Why we need an Ontology?

a. To share common understanding of the structure of information among people or software agents.

b. To enable reuse of domain knowledge.

c. To analyze domain knowledge.

d. All of the above.

3. Circle the correct assumptions of RDF.

a. RDF is a standard model for data interchange on the Web.

b. RDF extends the linking structure of the Web to use URIs to name the relationship between things as well as the two ends of

4. Circle the correct assumptions of OWL.

a. There are three sublanguages of OWL: OWL Lite, OWL DL and OWL Full.

b. OWL is intended to be used when the information contained in documents needs to be processed by applications, as




the link.

c. Is a vocabulary for describing properties and classes of RDF resources, with a semantics for generalization-hierarchies of such properties and classes.


opposed to situations where the content only needs to be presented to humans.

c. OWL has more facilities for expressing meaning and semantics than XML, RDF, and RDF-S.


5. What is the different between RDF and OWL?

a. RDF is a special framework found online that is tasked with the representation of online exchange of data. OWL, on the contrary, is a special language used in the description of ontologies online.

b. RDF refers to Resource Description Framework, on the other hand, OWL refers to Web Ontology Language.

c. RDF defines way how to write stuff and OWL defines ways what to write.


6. RDF vs OWL. Circle some advantages and disadvantages.

a. OWL allows you to add more restrictions to your knowledge representation.

b. It is in data exchange and interoperability that RDF really shines.

c. RDF is very long and hard to read.


7. Is possible to Access a relational data base as a virtual RDF graph?

a. Yes, using D2RQ.

b. Yes, using ODBR.

c. No.

d. NA.

8. What is SPARQL?

a. An RDF query language.

b. A semantic query language for databases.

c. A semantic query language which i sable to retrieve and manipulate data stored in RDF format.


9. Circle the correct assumptions of D2RQ.

a. Is a system for accessing a relational database as a virtual RDF graphs.

b. Can t́ query a non-RDF database using SPARQL.

c. Can’t access information in a non-RDF database.

10. Is possible to use and Ontology in Java? If it is possible, please give two examples of two technologies that bring this possibility.

a. Yes, using Jena.

b. Yes, using Java2Ontology.

c. No.

11. Circle the correct assumptions of an RDF triple?

a. Is a statement about resources in the form subject-predicate-object expressions.

b. A triple include a literal value as its predicate.

c. A triple include a URI as its object.


12. What are graph databases? Name some of them

A graph database is a database that uses graph structures for semantic queries with nodes, edges and properties to represent and store data. (ArangoDB, Stardog, Titan,…)

a. graphical environment for databases

b. databases with graph structures

c. databases for graphics

d. a and b are correct

13. What is Apache Jena?

a. Semantic framework for Java to extract

14. What is data mining?

a. The computational process of discovering



data and write to RDF graphs.

b. A graph database with drivers for Java

c. A message broker to which support RDF information

d. None of the above

patterns in large data sets

b. The process of insert data to create exploits

c. The process of query a web search engine to obtain the information

d. The process of grouping malicious data

15. What is data preprocessing in machine learning?

a. Select small parts of the data to work with

b. Organize data using the same format

c. Remove invalid data

d. All are correct

16. Which of the following are data mining algorithms

a. K-means

b. J5.4

c. K- farthest neighbor

d. All are correct

17. What are approaches for machine learning.

a. Association rule learning

b. Support vector machines

c. All are correct

d. Neuronal networks

18. Differences between supervised and unsupervised learning?

a. Unsupervised learning doesn’t have output data

b. There’s no difference

c. In unsupervised you don’t need to be present

d. Supervised need a person to evaluate the process

19. What is JVM for?

a. JVM compiles java code

b. JVM is for debugging Java code

c. JVM is a development environment for Java

d. JVM is for running a Java program on a computer

20. What of these primitive data types are supported by Java

a. Integer

b. long

c. double

d. b and c

21. Which class do you have to extend to create an Exception in Java?

a. java.lang.Object

b. java.lang.Throwable

c. java.lang.Exception

d. all are correct

22. What is a constructor?

a. A special method to initialize the object

b. A class in charge of construct the database

c. A method for initialize the database


23. If class B extends class A

a. Class B inherits only public fields from class A

b. Class B can only extend class A with public fields

c. New fields in class B will not exists in class A

d. Methods in Class B must have different name than methods in class A

24. What is the difference between an interface and an abstract Class?

a. All methods in an interface are abstract

b. Abstract classes can’t be instantiated

c. Interface support multiple inheritance

d. All are correct



25. How Java pass parameters?

a. Always by value

b. Always by reference

c. Depends on the context


26. Java.util.iterator

a. Is a Java class to iterate over a collection

b. Is a Java Interface to iterate over a collection

c. Must be implemented for each type of collection

d. b and c

27. What is a hash map?

a. A collection that counts the number of times and appears in the collection

b. A hash table to store pairs of key-value

c. a and b

d. none of the above

28. What is a servlet?

a. A java class for managing access to databases

b. A java class for managing http request

c. A java based server

d. All are correct

29. What are Java threads?

a. A code that can be a threat or malicious

b. A Java class that allow to create multiple threads of execution

c. A Class to manage raised exceptions


30. What is a JSP?

a. Java Specification Process a process to create a new specification

b. Java Server Pages html pages including Java tags to show dynamic content

c. Java Server Point an access point that defines how to interact with the server

d. Java Specification Page a html page that specifies how to deploy the java application on the server



10. Ulster ESR Recruitment

The recruitment process followed the normal procedures for recruiting MSCA ESRs at Ulster University.

A recruitment requisiton was initially completed and approved by the Computer Science Research Instiute Director prior to being sent to the Pro-Vice Chancellor of Research and Innovation at Ulster University for approval. This process involves assessment that all paperwork for adevrtising is in order in addition to receiving confirmation from Ulster University’s Research Office that sufficient funding is in place to support the position being advertised.

Once approved by the Pro-Vice Chancellor all materials are sent to the Human Resources department where preparation of the necessary advertisements are made. The Human Resources department manage the application process and once the closing date has passed arrange for the shortlisting to take place.

The shorltisting proces involves a sub-set of personel from the interview panel including the Head of Research Graduate School. The Head of Research Graduate School provides input to the process relating to eligiblity to undertake a PhD at Ulster University in accordance with University policy.

Following shortlisting candidates who were successful in being shortlisted are invited for interview by the Human Resoruces department. The Interview panel is comprised of the Shortlisitng panel, a representative from Human Resoruces and others directly involved with the Post. All members of the panel will have undergone a Recruitment and Selection course within the last 5 years. The Chair of the interview panel will prepare a set of questions for the interview and at a pre-meeting will agree with the panel who will ask which questions.

At the end of the panel a consensus meeting takes place to identify candidates who are apppointable. Following this candidates are ranked, with the top ranked candidate being offered the positon. Human Resources provide feedback to all candidates 7-10 days following the interview.

10.1. Advertisement



Valid Applications

1st round 1

st March 1

st April MCSA-official site;

Belfast Telegraph

9 9

2nd

round

3rd

round



1st round 08/04/16 21/04/16 1 08/04/16

2nd

round

3rd

round

10.3. ESR Details

10.3.1. ESR15


Federico Cruciani Male Italian 22/11/1982 12/09/16






Job Description

Salary: £26,552

Role: Marie Curie Fellow (Early Stage Researcher) in Computer Science

Reports to: Professor Chris Nugent

Responsible to: Professor Chris Nugent

Job Purpose

The School of Computing and Mathematics is actively seeking to recruit an Early Stage Researcher (ESR) to undertake research and development on active ageing and assisted living within the EU H2020 Marie Sklodowska-Curie ITN ACROSSING project.

The ACROSSING training network aims to develop advanced technologies and platforms for smarter assisted living by combining research expertise and capabilities of 10 partners from 6 European countries. In total 15 ESRs will be recruited and each will conduct research on a specific, however, closely related research area. The ESR hosted at Ulster University will be responsible for developing novel computational approaches based on wearable technologies for the promotion of physical activity for the elderly. The ESR will also be expected to contribute to network-level research activities, technology and system integration, deliverables, event organisation and public engagement for dissemination and impact.

The ESR will be required to undertake PhD studies and must fulfil the requirements of the university's doctoral training programme. They will have opportunities to visit other network partners in Lulea Technical University Sweden, I+ Srl in Italy and INRCA also based in Italy. The ESR will be afforded the opportunity to attend the research and training events of the ACROSSING network. All costs will be fully funded by the EU MSCA programme.

The post will be based within the Smart Environments Research Group (SERG) at Ulster University. The research focus of the group is on developing new assistive technologies to improve aspects of healthcare, wellbeing and independence associated with global ageing or for individuals with cognitive impairment. Many of the research projects within SERG address specific challenges of ageing or cognitive impairment along with the prevention and management of long term health conditions.

The post will be based within the School of Computing and Mathematics, at the University's Jordanstown campus.

Main Duties

1. Undertaking a literature review of wearable technologies and smart environments.

2. Undertaking a literature review in the area of strategies related to the promotion of physical activity within the elderly.

3. Assessing user requirements for elderly person within the home environment.

4. Developing new technology based solutions to address the challenges of home based promotion of physical activity.

5. Engaging with the ACROSSING Network partners of Lulea Technical University, I+ Srl and INRCA.

6. Planning and managing operational aspects of the Project, including user evaluations of technical solutions developed.

7. Managing project documentation in a timely manner according to project plans.

8. Collating and analysing results from evaluations leading to peer reviewed publications.

9. Managing, chairing and participating in project meetings

10. Presenting progress reports/research results to academic, industrial and clinical forums.




11. Undertaking significant local and International travel to attend Project related meetings and disseminating results from the Project.

12. Contribute to academic related activities within the School of Computing and Mathematics.

13. Any other duties appropriate to the grade and nature of the post.


Personnel Specification

FACULTY: Computing and Engineering

SCHOOL: Computing and Mathematics

POST: Marie Curie Fellow (Early Stage Researcher) in Computer Science

REF: 1538769

Educational and Professional Qualifications

Essential First or upper second class honours degree in Computer Science, Software Engineering or cognate discipline.

Desirable MSc in Computer Science or Engineering.

Previous Experience/

Training

Essential

Evidence of experimental research or development experience in a field related to Connected Health and/or Pervasive/Wearable Computing.

Evidence of experience in Object Oriented programming (e.g. C++/Java), scripting languages (e.g. Python/Javascript) or equivalent programming languages.

Desirable Evidence of undertaking evaluations of software systems with end users.

Job Related Achievements

Essential Evidence of successfully contributing to research projects.

Evidence of contributing to progress reporting.

Desirable

Evidence of initiative and innovation.

Evidence of working knowledge of sensor technologies.

Evidence of ability to undertake assessment of current and existing research solutions.

Inter-Personal Skills

Essential High level of oral and written communication skills.

Experience of working as an integral part of a multi-disciplinary team.

Desirable Experience of presenting results at research conferences.

Research

Essential Evidence of research potential in the form of academic papers published or submitted for publication and / or presentations at international scientific conferences.

Desirable Evidence of co-ordination of research activities and associated dissemination events.



Other

Essential

Willingness to engage in interdisciplinary research.

Willingness to travel as required.

Proficiency in English language.

Applicants must meet the University’s entry requirements for PhD study.

Applicants must NOT have resided or carried out their main activity in the UK for more than 12 months in the 36 months leading up to 31 March 2016.

Desirable

Immigration, Asylum and Nationality Act 2006

The University is legally required to confirm that all new appointees are eligible to work in the UK. If you are offered an appointment and prior to taking up the post offered at Ulster you must confirm your eligibility to work within the UK (for non EEA nationals this may involve Tier 1 or Tier 2 of the Points Based System).

You must also attend a ‘New Start’ session and produce relevant original documents in order to confirm your identity and entitlement to work in the UK prior to taking up an offered post.

It is our policy not to accept CVs as an alternative to completing the University’s application form. The application form can be completed on-line at www.ulster.ac.uk or alternatively you can apply in hard copy.


The advert that was included in the Belfast Telegraph is presented below:

http://www.ulster.ac.uk/




Question

Are you familiar with the ACROSSING Project, who it is funded by, its aim and how it operates?

This post will support the design, development and evaluation of connected health solutions specifically to promote physical activity. What is your understanding of the current trends in this area?

How could you contribute to the ACROSSING Project and why should we appoint you as an ESR on the Project?

Can you outline your experience in a field related to in Computer Science, Connected Health and/or Pervasive/Wearable Computing.

Can you comment on your level of proficiency in programming languages such as C/C++/Java or equivalent.

What evidence do you have that you have successfully completed programming solutions?

What experience do you have in contributing to report writing?

What sensor technologies are you aware of that could be used in this Project? Have you worked with accelerometry before? What are the challenges with such sensors? What are the challenges of using wearable technologies?

How would you compare and contrast two different commercial sensor platforms?

Have you experience of working as part of a multi-disciplinary team?

What do you think is currently the number one Conference in Ambient Assisted Living?

What do you understand about undertaking a PhD? How would you plan your first year of research?

The post will require travel for consortium meetings, training events and secondments in partner organisations in Italy and Sweden. Would this cause you any problems?



11. Appendices

11.1. ESR1 CV (not yet assigned)



11.2. ESR2 CV





11.3. ESR3 CV





11.4. ESR4 CV



11.5. ESR5 CV

Place relevant ESR CV here



11.6. ESR6 CV





11.7. ESR7 CV







11.8. ESR8 CV



11.9. ESR9 CV

Curriculum Vitae Deepika Singh

Page 1 / 2

PERSONAL INFORMATION D eepika Singh

A-470 Amrapali Marg, Vaishali Nagar, Jaipur-302021, Rajasthan, INDIA

(+91) - 8384 9179 21

dsdeepikasingh2@ gm ail.com

Sex F | Date of birth 05/07/1989 | Nationality Indian

WORK EXPERIENCE

EDUCATION AND TRAINING

Aug 2014 – Present Lecturer-R esearch Fellow | D epartm ent of C om puter Science & Engineering

M alaviya N ational Institute of Technology Jaipur (India)

Responsible for laboratory courses on “Image Processing”, “Data Mining” and “Design Analysis & Algorithm ” for bachelor and master students

Preparation of lecture presentations, reviewing thesis reports of bachelor students Carrying out several research activities in collaboration with master and PhD students

Jun 2011 - Jun 2012 Lecturer | D epartm ent of C om puter Science

Poornim a C ollege of Engineering, Jaipur (India)

Responsible for lectures and laboratory course of “C Program m ing Language” for I year bachelor students

Guided students in software development activities Conducted quizzes and competitions among students for software development

Jul 2012 – M ay 2014

M aster thesis

M aster of Technology (M .Tech.) in C om puter Science

B anasthali U niversity, R ajasthan (India)

C um ulative Score (4 Sem esters): 78.54%

Early D etection of the M alignant M elanom a (Supervisor: Dr. Mustaq Ahmed)

Malignant Melanoma, the most deadly form of skin cancer, has a good prognosis if treated in the curable early stages. Early diagnosis and surgical excision is the most effective treatment of melanoma. In this work, Image Processing Techniques were used on clinical dermatoscopic images of skin lesion to distinguish melanoma from the benign pigmented lesions. The research present Asymmetry, Border Irregularity, Colour Variation and Diameter feature extraction of image dermatoscopic for melanoma skin cancer diagnosis. This feature is used to calculate Total Dermatoscopic Score (TDS) which distinguish melanoma from benign lesions.

Jul 2007 – M ay 2011

B achelor of Technology (B .Tech.) in C om puter Engineering

A rya C ollege of Engineering & R esearch C enter, Jaipur (India)

C um ulative Score (8 Sem esters): 78.60%

Trainings & Projects Industrial training at CMC Academy, Jaipur: A project “Explore India” was developed in ASP.NET using C # using M ySQ L as backend and thus executed successfully. (14th May to 18th Jun 2010)

Training at BIS Department (Gas Authority of India Limited, Noida): Softw are for calculation of

pipeline com pensation w as developed and validated. (20th Jun to 28th Jun 2010) Payroll M anagem ent System was developed for managing the payroll in a particular organization

for improving the management system by providing fully secured and automated system. Visual Basic v8.1 was used as frontend and MS-Access as backend.

Jew ellery Inventory M anagem ent System was developed for management of inventory of M/s

Chaitanya Jewellers (Johari Bazaar, Jaipur) which is being currently used by the jeweller. Software was developed in ASP.Net C# and MS-Access used as backend.



11.10. ESR10 CV



11.11. ESR11 CV



11.12. ESR12 CV





11.13. ESR13 CV

Place relevant ESR CV here

11.14. ESR14 CV

12. INFORMAÇÃO PESSOAL

Rua da Primavera 261, 4835-524 Guimarães (Portugal)

00351 911906869

[email protected]

Sexo Masculino | Data de nascimento 08/06/1991 | Nacionalidade Portuguesa

EXPERIÊNCIA PROFISSIONAL

EDUCAÇÃO E FORMAÇÃO

COMPETÊNCIAS PESSOAIS

POSTO DE TRABALHO A QUE SE CANDIDATA

Telecommunications engineer

Colaborador Censos 2011

Guimarães (Portugal)

Promotor na empresa GPL Promotor na empresa Wink

2009–2015 Licenciado em Engenharia de Telecomunicações e Informática

Universidade do Minho

2014–2015 Programa Erasmus

Silesian University of Technology, Gliwice (Poland)

Língua materna Português

Outras línguas COMPREENDER FALAR ESCREVER

Compreensão oral Leitura Interação oral Produção oral

Espanhol C1 C1 C1 C1 B2

Inglês B2 B2 B2 B2 B2

Níveis: A1 e A2: Utilizador básico - B1 e B2: Utilizador independente - C1 e C2: Utilizador avançado Quadro Europeu Comum de Referência para as Línguas

Competências de comunicação

http://europass.cedefop.europa.eu/pt/resources/european-language-levels-cefr



INFORMAÇÃO ADICIONAL

Considero-me uma pessoa com bastante facilidade em comunicar, fruto das várias experiências de publicitação e comercialização de produtos. Capacidade para trabalhar facilmente em equipa é outra das minhas valências, dado os vários anos como desportista.

Competências de organização Boa capacidade organizacional e de liderança. Enquanto Vice Presidente da Associação de Estudantes foram vários os projectos e eventos liderados. Como capitão de equipa de natação do Vitória Sport Clube e membro de várias equipas de desporto universitário, a capacidade de comunicação, de liderança e espírito de equipa fazem parte das minhas características.

Competências relacionadas com o trabalho

Ótimos conhecimentos informáticos/eletrónicos sobretudo na área das telecomunicações.

Carta de Condução B

Distinções e prémios Campeão Regional de Natação-Vitoria Sport Club- 2006

Prémio de Mérito Desportivo - Universidade do Minho – 2013

Prémio de Mérito Desportivo - Universidade do Minho – 2014



11.15. ESR15 CV

