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• Research oriented.

• Wide selection of courses.

• Modern facilities.

• Conducted in English.

• Adjusted to students’ needs.

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• Incremental Learning from Data Streams

• Mathematics for Machine Learning

• Advanced Topics in Network Science

• Predictive Analytics for Structured Data

• Contemporary Approaches to Algorithm Design

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• Information System Integration Methods

• Advanced Algorithms for Search and Planning

• Ensemble Methods for Data Analytics

• Deep Learning for Computer Vision

• Modern Statistics and Machine Learning

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• Marko Bajec• Zoran Bosnić• Ivan Bratko• Andrej Brodnik• Patricio Bulić• Mojca Ciglarič• Tomaž Curk• Janez Demšar• Tomaž Dobravec• Gašper Fijavž• Matej Guid• Tomaž Hovelja• Franc Jager• Branko Matjaž Jurič• Aleksandar Jurišić

• Igor Kononenko• Matej Kristan• Matjaž Kukar• Iztok Lebar Bajec• Aleš Leonardis• Uroš Lotrič• Viljan Mahnič• Matija Marolt• Miha Moškon• Miha Mraz• Polona Oblak• Veljko Pejović• Fabio Ricciato• Borut Robič• Marko Robnik Šikonja

• Rok Rupnik• Danijel Skočaj• Franc Solina• Luka Šajn• Sebastijan Šprager• Branko Šter• Erik Štrumbelj• Lovro Šubelj• Denis Trček• Mira Trebar• Damjan Vavpotič• Nikolaj Zimic• Blaž Zupan• Marinka Žitnik

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Machine learning and artificial intelligence

Software engineering and informatics

Theoretical computer science and mathematical methods

Systems and networks

Computational biology

Machine perception and multimedia

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Collaborations with world-renowned institutions:• Technical University Graz (Austria)• Technical University Wien (Austria)• Technical University Berlin (Germany)• ETH Zurich (Switzerland)• University of Sarajevo (Bosnia and Herzegovina)• Czech Technical University in Prague (Czech Republic)• ESRF – The European Synchrotron (France)• KU Leuven (Belgium)• University College London (UK)• Kyungpook National University (South Korea)• University of New South Wales (Australia)• Baylor College of Medicine (USA)• Massachusets Institute of Technology (USA)

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• Junior researchers

• Assistants

• Teaching assistants

• Researcher positions

• Slovene Human Resources and Scholarship Fund

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• Tuition fee: max. 4.000 € per year

• Salary for teaching and research activities: between 800 € and 1.000 € net

• Obligations:

• perform all study requirements,

• perform teaching requirements for 10 h per week,

• be involved in the research work of the mentors' laboratory for 30 hours per week

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• Research field: machine learning, deep neural networks, UI for interactive data visualisation

• Research work and machine learning applications• Part-time employment or student job

Contact: Blaž Zupan (blaz.zupan@fri.uni-lj.si)

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• Research field: machine learning in the field of natural language

• Research work and application in Slovenian language; development of tools for natural language analysis

• Approx. three year employment

• Research field: machine learning for big networks analysis

• Research work in networks analysis, fusion of information from networks and other data sources

• Approx. three year employment

Contact: Marko Robnik Šikonja(Marko.RobnikSikonja@fri.uni-lj.si) 17

Contact: Denis Trček (denis.trcek@fri.uni-lj.si)

• Research field: computer security, IoT• Research work in self-adaptive security in sensor networks

and in internet of things (IoT)• Approx. four year employment

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Contact: Marko Bajec (marko.bajec@fri.uni-lj.si)

• Research field: data technologies and healthcare data• Research work on EkoSMART research programme:

• Language independent information extraction from unstructured healthcare data• Anomaly detection in remote patient monitoring for patients with

multiple chronic diseases• Data schema mapping in healthcare• Attribute Based Access Control for healthcare data

• Research programme runs until March 2019

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Contact: Maja Bradeško (maja.bradesko@gorenje.com)

• Industry scholarships for PhD students working in the field of electronics development

• Proposed research topics:• Controlling household appliances with speech• Speech synthesis on household appliances • Machine learning: Smart and adaptive user interfaces

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• Via online eVŠ portal (http://portal.evs.gov.si/prijava)

• 2nd cycle Bologna Master's program

• Uniform Master's program, with an equivalent of 300 ECTS

• Pre-Bologna study program from university education in Slovenia

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• a well-structured curriculum vitae

• a certified copy of your bachelor or master's degree

• a GPA certificate of exams and tutorials

• a motivation letter

• 2 recommendation letters

• advisor(s) preference

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• The deadline for application is 2 June 2017

• Enrolment will take place in September 2017

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assist. prof. Marinka ŽitnikStanford University and UL FRI

Nejc ŠkoberneCEO & Co-founder of Genialis

Miha ŠtajdoharCTO & Co-founder of Genialis

Mitja TrampušGoogle

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Miha ŠtajdoharPhD awarded in 2012

CTO & Co-founder of Genialis

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Alja Isaković1st Year Doctoral Student

Student-Assistant

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