The University of Vermont-Google Open-Source Complex Ecosystems And Networks
(OCEAN) Postdoctoral and Postgraduate Fellowships at the University of Vermont's Complex Systems Center offer two early-career scientists a unique experience to tackle open questions related to organizational and team performance. Funded by Google Open Source, this fellowship provides an excellent opportunity to work alongside an international network of leading academic researchers and industry partners. The project will deepen understanding about how people, teams, and organizations thrive in technology-rich settings, especially in open-source projects and communities.
Come to beautiful Burlington, Vermont and work in a highly collaborative, fun, and dynamic research environment. The Vermont Complex Systems Center is a post-disciplinary team of faculty, researchers, and students working on real-world, data-rich, and meaningful complex systems problems of all kinds.
Initial research projects that will be conducted by this fellowship include:
-How people, teams, and organizations thrive in technology-rich settings.
-Trade-offs between organizational structure and the spread of ideas and information.
-Investigating how scientists and software developers use computational and collaborative tools and platforms.
-Understanding what conditions allow individuals and communities to succeed in open source software and open science.
James Bagrow, Associate Professor of Mathematics & Statistics, University of Vermont
Laurent Hébert-Dufresne, Assistant Professor of Computer Science, University of Vermont
We will review applications on a rolling basis beginning January 27, 2020 until February 20, 2020 or the positions are filled.
This 2-year fellowship comes with a competitive salary, discretionary funds, travel funds, and a generous benefits package. The expected start date is negotiable; the preferred start date is Summer of Fall 2020.
- A Ph.D. or Master’s Degree (or expected Ph.D./Master’s) in a relevant field (e.g., Mathematics, Computational Social Science, Computer Science, Statistics, Physics, Computational Biology, Data Science, etc.).
- Exemplary knowledge of data analysis, network science, mathematical modeling, and the ability to use and learn new computational tools.
- Ability to work independently and lead a research project from the ground-up
- Intellectual curiosity and interest in working in a highly-collaborative complex systems science environment
The University of Vermont is an Equal Opportunity/ Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any category legally protected by federal or state law. Applicants are welcome from any region, and there are no associated citizenship requirements.
-Online Application Form
-List of References
For additional information, please contact firstname.lastname@example.org