Deep-Learning Faculty Researcher
Vermont EPSCoR is recruiting a research assistant professor with expertise in machine learning and complex systems modeling to join our NSF-funded research on Basin Resilience to Extreme Events (BREE). We are in the second year of a large five-year interdisciplinary project which seeks to understand how the Lake Champlain Basin’s landscape, watershed and lake conditions respond to extreme weather events. The work will test policy scenarios for enhancing resilience using our comprehensive Integrated Assessment Model (IAM). As a member of the BREE team, the successful applicant will participate in unique learning and professional development experiences including learning to communicate science through our program with the Alan Alda Center for Communicating Science and will have access to significant cyberinfrastructure including a programming team and local and national computational resources.
- A PhD (or equivalent) in computer engineering, computer science, systems engineering or a related field
- The demonstrated ability to model physical (social and/or natural) systems with an emphasis on embedding machine learning and complex systems methodologies in the models
- Experience in the use of deep learning network frameworks (e.g. Tensorflow) to explore decision-making machine learning challenges such as those that might be used to drive agent behavior in an agent-based model
- Experience in complex systems analysis including multi-objective optimization and the quantification of uncertainty as it propagates through a complex system
- The ability to work effectively on a large, interdisciplinary team and contribute to the integration of work into a larger modeling framework
This research position will be funded through September 2019, or two years after the start date. Intended start date is September 1, 2017, or as soon as possible thereafter.
To apply: Please send your CV and a cover letter outlining research interests, expertise, and availability to email@example.com.