Vermont EPSCoR is recruiting several postdocs and PhD level graduate students to join our cutting-edge NSF-funded research on Basin Resilience to Extreme Events (BREE). We are initiating a five-year award of large-scale interdisciplinary studies which will determine how the Lake Champlain Basin’s landscape, watershed and lake conditions respond to extreme weather events and will test policy scenarios for enhancing resilience using our comprehensive Integrated Assessment Model (IAM). As a member of the BREE team, you will have excellent mentoring and participate in unique learning and professional development experiences including learning to communicate your science through our program with the Alan Alda Center for Communicating Science.
Computational Social Science, Economic and Policy Modeling PhD Student
Position ID: GRA#005
Vermont EPSCoR’s latest Track 1 award, Basin Resilience to Extreme Events, is recruiting for a number of PhD graduate student positions within the next year to work on a cutting-edge, large-scale, interdisciplinary, NSF-funded study which will determine how the Lake Champlain Basin’s landscape, watershed and lake conditions respond to extreme weather events. The goal is to test policy scenarios for enhancing resilience using our comprehensive Integrated Assessment Model. We seek a student interested in pursuing PhD level research in the areas of computational social science, economic and policy modeling, complex systems, applied mathematics or related fields. Candidates must enjoy participating in an interdisciplinary research team of faculty, other graduate students, undergraduates, and stake holders, all working toward identifying strategies that improve water quality resilience within the basin.
Qualifications: The candidate must enroll in PhD program at UVM. Preference will be given to candidates with an undergraduate or Master’s degree in economics, computer science, quantitative social sciences or related field with research interests in agent-based modeling. Expertise in advanced statistical methods, including machine learning techniques, artificial neural networks and econometrics is also desirable.
This position comes with a research assistantship that is renewable through May 2021. Candidates should enroll in a UVM graduate program for the spring term if possible, but should be on campus by June 1, 2017 to begin work.
Questions can be directed to Asim Zia (Asim.Zia@uvm.edu).
To apply: please send CV, names and contact information for three references, and a cover letter outlining research interests, expertise and availability to firstname.lastname@example.org and reference Position ID GRA#005.