Quantitative andEvolutionary/Ecological

STEMTraining

Earn your Ph.D. helping to understand and solve pressing environmental and global health problems using rigorous training in evolutionary biology and quantitative data analysis.

A Ph.D. Program for an Evolving WorldResearch areas include: Disease, antibiotic and pesticide resistance, food security, and ecosystem and species resilience to global change

Doctoral Training Strengths

• Transdisciplinary training environment allows you to become an expert inevolutionary biology, data science, statistics, informatics, and modeling.• Applied internships allow you to develop data-driven solutions to

real-world problems in non-academic settings.• Integrated professional development activities allow you to enhance and

refi ne computational, cultural sensitivity, and communication skills.• QUEST training integrates with your choice of eight existing PhD programs

across campus.

Program Highlights

• 30 faculty from 8 academic units across campus.• Competitive fi nancial packages.

• Unique mentoring network.• Emphasis on cohort-building, teamwork, and collaboration.

QuEST Trainees

Want to learn more?

QuEST and the University are especially interested in students who can

contribute to the diversity and excellence of the academic environment.!

Students from diverse educational backgrounds and from diverse

racial, ethnic, socio-economic, gender, and cultural

backgrounds are strongly encouraged to apply.

Made possible by a graduate training grant to UVM from the National Science Foundation.

Questions? E-mail April Berteau, Program Coordinator

QuEST

Visit uvm.edu/quest Questions, contact us at:

quest@uvm.edu(802) 656-2251

QUANTITATIVE AND EVOLUTIONARY STEM TRAINING PROGRAM 63 Carrigan Drive, 358 Jeffords Hall, Burlington, VT 05405-0086 USA (802) 656-2251 • fax: (802) 656-2914 quest@uvm.edu • www.uvm.edu/quest

Now accepting applications for Fall 2020!

We are seeking doctoral

trainees who are emerging

scholars passionate about

developing tools for

pressing environmental and

global health problems.

Does this sound like you?

QuEST Leadership and The University of Vermont are especially interested in students

who contribute to the inclusion, diversity, and excellence of the academic environment

both professionally and personally.

WANT TO LEARN MORE? – CALL OR EMAIL US TODAY.

We are happy to answer any questions you have about this exciting opportunity.

QUEST LEADERSHIP TEAM QUEST AMBASSADORS

Melissa Pespeni, Ph.D. Biology

Director of QuEST & Assistant Professor

Marsh Life Sciences Room 326A

Phone: (802) 656-0628

Melissa.Pespeni@uvm.edu

Lori Stevens, Ph.D. Biology

Internship Director of QuEST & Professor

Marsh Life Sciences Room 321A

Phone: (802) 656-062

Lori.Stevens@uvm.edu

April Berteau

QuEST Program Coordinator

63 Carrigan Drive, Jeffords Hall 358

Phone: (802) 656-2251

April.Berteau@uvm.edu

Natalia Aristizábal

Natural Resources Graduate Program

Rubenstein School of Environment and

Natural Resources

Natalia.Aristizabal@uvm.edu

Erika Bueno Plant and Soil Science Graduate Program

College of Agriculture and Life Sciences

Erika.Bueno@uvm.edu

Sam Rosenblatt

Computer Science Graduate Program

College of Engineering and Mathematical

Sciences

Samuel.F.Rosenblatt@uvm.edu

For more information, visit our website at https://www.uvm.edu/quest.

QuEST Recruitment and Admissions

QUANTITATIVE AND EVOLUTIONARY STEM TRAINING PROGRAM 63 Carrigan Drive, 358 Jeffords Hall, Burlington, VT 05405-0086 USA (802) 656-2251 • fax: (802) 656-2914 quest@uvm.edu • www.uvm.edu/quest Equal Opportunity/Affirmative Action Employer

Dedicated to Diversity All QuEST graduate training program members are committed to building an inclusive community through active collaborations among trainees and faculty from diverse academic, social, and cultural backgrounds who bring new perspectives, offer creative solutions to complex problems, and foster a rich training environment for all participants.

Admissions Information We are seeking doctoral trainees who are emerging scholars passionate about developing tools for pressing environmental and global health problems. Students in this graduate training program will be:

introduced to and will gain a strong understanding of core concepts in evolution, ecology, and epidemiology;

exposed to contemporary, real-world topics where modeling and predicting system disturbances are crucial;

engaged in developing hypotheses and experimental designs, and will develop skills for interdisciplinary teamwork and communications training.

Application Details Step 1: Connect with participating faculty to explore the Interest Group Networks in your area of research interest and discuss the QuEST Traineeship.

*Here is a suggestion for an introductory email Step 2: Apply to the respective academic unit’s Ph.D. program through UVM’s Graduate College by the specified date. Application deadlines vary by Ph.D. program beginning December 1 to February 15. Step 3: Complete and submit a QuEST online application to apply for a traineeship.

Or download the application using Adobe (PDF) or Word (docx). Email the completed application to quest@uvm.edu. Applications received by January 15 will be given highest priority.

For questions, please email April Berteau, QuEST Program Coordinator

QuEST Leadership and the University of Vermont are especially interested in students who contribute to the inclusion, diversity, and excellence of the academic environment both professionally and personally.

Students from diverse educational backgrounds (e.g., biology, mathematics, and computer science, agricultural, environmental, and health sciences, STEM education) and work-life experiences (e.g. community college, extracurricular, volunteerism), women, LGBTQ, and first-generation college, veterans, and individuals with disabilities, and underrepresented racial, ethnic, gender, socio-economic and cultural groups are strongly encouraged to apply.

MADE POSSIBLE BY A NATIONAL SCIENCE FOUNDATION RESEARCH TRAINEESHIP GRANT TO THE UNIVERSITY OF VERMONT.

Faculty Name College Academic Unit Area of Expertise Adair, Carol Rubenstein School of

Environment and Natural Resources (RSENR)

Environmental Sciences Global change, ecosystem ecology, and biogeochemistry

Agnarsson, Ingi College, Arts & Sciences (CAS) Biology Arachnid systematics, evolution, and biogeography

Ballif, Bryan College, Arts & Sciences (CAS) Biology Signal transduction, proteomics, and neuroscience

Barlow, John College, Agriculture & Life Sciences (CALS)

Animal Science Mastitis epidemiology, infectious disease epidemiology, and zoonotic disease

Barrington, Dave College, Agriculture & Life Sciences (CALS)

Plant Biology Plant systematics and evolution

Bates, Jason College, Engineering & Mathematical Sciences (CEMS)

Electrical and Biomedical Engineering

Pulmonary Medicine

Bishop-von Wettberg, Eric

College, Agriculture & Life Sciences (CALS)

Plant and Soil Sciences Genetics, Genomics, Domestication, Crop Breeding, Evolution, Ecology, Legumes, Germplasm, Conservation

Brody, Alison College, Arts & Sciences (CAS) Biology Plant-animal interactions

Classen, Aimée Rubenstein School of Environment and Natural Resources (RSENR)

Environmental Sciences, Forestry, Natural Resources

Global change, ecosystem ecology, and plant-soil interactions

Chen, Yolanda College, Agriculture & Life Sciences (CALS)

Plant and Soil Sciences Insect ecology, population genetics, agro ecology, and evolution

Cheney, Nick College, Engineering & Mathematical Sciences (CEMS)

Computer Science Deep Reinforcement Learning, Evolutionary Robotics, Artificial Intelligence, Artificial Life

D’Amato, Anthony Rubenstein School of Environment and Natural Resources (RSENR)

Forestry Program Silviculture, applied forest ecology

Danforth, Chris College, Engineering & Mathematical Sciences (CEMS)

Math and Statistics Chaos, mathematical modeling, computational methods

Dupigny-Giroux, Lesley-Ann

College, Arts & Sciences (CAS) Geography Geospatial modeling, global change

Eppstein, Maggie College, Engineering & Mathematical Sciences (CEMS)

Computer Science Computational forward and inverse modeling

Fisher, Brendan Rubenstein School of Environment and Natural Resources (RSENR)

Environmental Studies, Natural Resources

Biodiversity conservation, human livelihoods and environmental economics

Galford, Gillian Rubenstein School of Environment and Natural Resources (RSENR)

Environmental Sciences, Natural Resources

Environmental sustainability, ecosystems ecology, nitrogen and carbon cycling, greenhouse gases, remote sensing, ecosystems modeling, land-cover and land-use change, tropical agriculture

Goodnight, Charles College, Arts & Sciences (CAS) Biology Population genetics

Gotelli, Nicholas College, Arts & Sciences (CAS) Biology Organization of animal and plant communities

(October 2019; Version 3.0) Page 2 of 2

Faculty Name College Academic Unit Area of Expertise Hébert-Dufresne, Laurent

College, Engineering & Mathematical Sciences (CEMS)

Computer Science Statistical physics, complex systems, dynamics in epidemiology/sociology/ecology

Helms Cahan, Sara College, Arts & Sciences (CAS) Biology Social insect ecology

Kanagala, Vijay Salem State University, School of Education

Higher Education and Student Affairs

Diversity access, higher education, STEM

Keller, Stephen College, Agriculture & Life Sciences (CALS)

Plant Biology Evolution, genomics, global change

Kirkpatrick, Beth Larner College of Medicine Microbiology and Molecular Genetics

Infectious Disease, global health, human immunology

Li, Dawei Larner College of Medicine Microbiology and Molecular Genetics

Genomics, microbiome and bioinformatics in human disease

Lockwood, Brent College, Arts & Sciences (CAS) Biology Ecological and evolutionary physiology

Merrill, Scott College, Agriculture & Life Sciences (CALS)

Plant and Soil Sciences Landscape ecology, climate change and population modeling

McKay, Stephanie College, Agriculture & Life Sciences (CALS)

Animal Sciences Genomics and epigenomics of livestock

Molofsky, Jane College, Agriculture & Life Sciences (CALS)

Plant Biology Evolution of invasiveness, population dynamics, plant communities

Ogbunu, Brandon Brown University Biology Evolution, infectious diseases, mathematical modeling, computational biology

Pespeni, Melissa College, Arts & Sciences (CAS) Biology Evolution, genomics, and global change

Preston, Jill College, Agriculture & Life Sciences (CALS)

Plant Biology Evolutionary genetics and plant development

Ricketts, Taylor Rubenstein School of Environment and Natural Resources (RSENR)

Environmental Sciences, Natural Resources

Conservation, ecosystem services, human health, and biogeography

Rizzo, Donna College, Engineering & Mathematical Sciences (CEMS)

Civil and Environmental Engineering

Computational tools for environmental and human health

Sanders, Nate Rubenstein School of Environment and Natural Resources (RSENR)

Environmental Studies, Natural Resources

Global climate change ecology

Single, Richard College, Engineering & Mathematical Sciences (CEMS)

Mathematics & Statistics; Biostatistics

Population genetic analyses and comparative genomics

Stevens, Lori College, Arts & Sciences (CAS) Biology Evolution and infectious diseases

Stockwell, Jason Rubenstein School of Environment and Natural Resources (RSENR)

Environmental Sciences, Wildlife and Fisheries Biology

Behavior, population structure and food web interactions; Aquatic ecology

Wallin, Kimberly Rubenstein School of Environment and Natural Resources (RSENR)

Forestry, Ecology, Genetics and Entomology

Forest ecosystem health, tree resistance, entomology, insect behavior, biocontrol, invasive species, biodiversity, climate change, terrestrial food webs

White, Easton College, Arts & Sciences (CAS) Biology Population Biology

Mailing address: The University of Vermont 63 Carrigan Drive Jeffords Hall 358 Burlington, VT 05405