This position has been filled!
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 Science, Engineering, Complex Systems, or Applied Mathematics PhD Student
Position ID: GRA#007
A Graduate Research Assistantship position is available at the University of Vermont as part of Vermont as part of an NSF-funded research project on Lake Champlain Basin Resilience to Extreme Events. Vermont EPSCoR’s latest Track 1 award is recruiting for a number of positions within the next year to work on a cutting-edge, large-scale, interdisciplinary, NSF-funded study that 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. As a member of the research team, you will participate in unique learning and professional development experiences and have access to significant resources including: Alan Alda Communicating Science workshops; undergraduate mentoring and training; and over 30 research colleagues spanning numerous disciplines including hydrology, limnology, geology, engineering, environmental resources, economics, public policy and community development.
Qualifications: We seek students interested in pursuing PhD level research in the areas of computational science, engineering, complex systems, applied mathematics or related fields. A B.A., B.S. or M.S. in engineering, computer science, applied mathematics or related field with research interests in Scientific Computing, Multi-objective Optimization, Numerical solutions of Stochastic PDEs, Machine Learning, Uncertainty Quantification, applied to inter-disciplinary research that employs social and natural science and engineering.
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 Donna Rizzo (Donna.Rizzo@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#007.