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Job ID: 90895

Climate Statistics PhD Student
University of Vermont

  • Mar. 16, 2017
 
  • Climate Statistics PhD Student
  • Vermont EPSCoR
  • http://www.uvm.edu/EPSCoR
  • University of Vermont
    Burlington, VT
    United States
 
  • Open until filled
  • Jun. 1, 2017
  •  
 
  • Graduate Student
  • Statistics & Actuarial Science
    Mathematics/Applied Mathematics
    Environmental Sciences/Ecology/Forestry
    Earth Sciences
    Atmospheric Sciences
 
 
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Vermont EPSCoR is recruiting several researchers 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.

Climate Statistics PhD Student
Position ID: GRA#008

Vermont EPSCoR’s latest Track 1 award, Basin Resilience to Extreme Events, is recruiting for a number of 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. We are seeking a PhD level Graduate Research Assistant, who will be responsible for i) statistical modeling of climate change projections in support of downstream models and ii) using these climate change projections to simulate forest dynamics in our New England study region. This GRA will require or develop technical expertise in R/Python, Bayesian statistics and running simulations models in a Linux-based high performance computing environment. It is expected that the successful applicant will have an undergraduate or Master’s degree in a quantitative or computational field.

Qualifications: An undergraduate or Master’s degree in a quantitative or computational field, coursework in statistics, and knowledge/facility with a programming language.

This position comes with a research assistantship that is renewable through May 2021. The position will begin on June 1, 2017, and applications will be considered until the position is filled.

Questions can be directed to Arne Bomblies (Arne.Bomblies@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#008.

Please visit http://www.uvm.edu/EPSCoR/ for more information and other available positions.


 
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Contact Information

 
  • Vermont EPSCoR
    Vermont EPSCoR
    University of Vermont
    Burlington, VT 05405
  •  
  • epscor@uvm.edu
 

 

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