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Job ID: 113175

Computational Science, Engineering, Complex Systems, or Applied Mathematics PhD Student
University of Vermont


Date Posted Sep. 28, 2018
Title Computational Science, Engineering, Complex Systems, or Applied Mathematics PhD Student
University University of Vermont
Department Vermont EPSCoR
Application Deadline open until filled
Position Start Date open until filled
 
  • Burlington, VT
    United States
 
  • Graduate Student
  • Natural Sciences
    Mathematics/Applied Mathematics
    Geography
    Geology - Hydrogeology
    Geology - Geochemistry
    Geology/Geosciences - General
    Environmental Sciences/Ecology/Forestry
    Earth Sciences
    Computer/Information Sciences
    Sciences - General
 
 

Vermont EPSCoR is recruiting a PhD level graduate student to join our cutting-edge NSF funded research on Basin Resilience to Extreme Events (BREE). We are in year three of 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 this position 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. The position will begin on January 15, 2019, or as soon as possible thereafter, and applications will be considered until the position is filled.

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 epscor@uvm.edu and reference Position ID GRA#007.



 
Please reference AcademicKeys.com in your cover letter when
applying for or inquiring about this job announcement.
 
 

Contact Information

 
  • Vermont EPSCoR
    Vermont EPSCoR
    University of Vermont
    334 Marsh Life Science Building
    109 Carrigan Drive
    Burlington, VT 05405
  •  
  • epscor@uvm.edu

 

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