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Research Assistant or Associate Professor in Lake Modeling
The College of Engineering and Mathematical Sciences (CEMS) at the University of Vermont (UVM) invites applications for a 3-year research professor position at the assistant or associate level in lake modeling, with an expected start date of July 1, 2018. The College is seeking an outstanding individual whose research is related to computational modeling of hydrodynamics, biogeochemistry and ecology of lake or marine systems. The candidate is expected to significantly contribute to the Vermont EPSCoR Basin Resilience to Extreme Events (BREE) project by leading the effort to develop a fully coupled physical/biogeochemical model of two eutrophic bays within Lake Champlain that leverages data from an advanced high-frequency physical, chemical and biological monitoring array instrumented for this project. Vermont EPSCoR ( is funded by the National Science Foundation with a $20M interdisciplinary award to study and promote resiliency in the Lake Champlain Basin. Research will inform public policy and support economic and workforce development. Individuals selected will be expected to interact substantially across the highly interdisciplinary project team. Candidates must have a PhD in engineering, computer science, applied mathematics, or related field. Research areas of interest can include but are not limited to process-based modeling of coupled physical, biogeochemical and ecological dynamics in lakes, estuaries and coastal regions.
The University of Vermont is an Equal Opportunity/Affirmative Action Employer and actively encourages applications from women, veterans and people from diverse racial, ethnic, and cultural backgrounds.
The University of Vermont, established in 1791, is a comprehensive research university with a current enrollment of 12,000+ undergraduate, graduate, and medical students. The scientific and academic environments in the College of Engineering and Mathematical Sciences, and throughout the university community are dynamic, highly collaborative, and multi-disciplinary. The University is located in Burlington, Vermont, about 90 miles south of Montreal. Burlington is often rated as the best small city in America for quality of living, and features year-round outdoor recreation and cultural events. Greater Burlington has a population of approximately 150,000 and enjoys a panoramic setting on Lake Champlain, bordered by the Adirondack and Green Mountains.
The applicant must submit a current curriculum vitae identifying her or his specific area of expertise, a detailed statement of research interests, a diversity impact statement, and names of at least three people who can provide letters of reference. All application materials must be submitted online at, position number 00021678. Inquiries may be addressed to Arne Bomblies, Search Committee Chairperson, at . Review of applications will begin December 15, 2017 and continue until the position is filled.

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 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 for two years. Intended start date is ASAP and applications will be reviewed as they are received.
To apply: Please send your CV and a cover letter outlining research interests, expertise and availability to