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Rahul Jayan
3 months ago
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Postdoctoral Researcher and Funded M.S. Position in Computational Electrochemistry and Machine Learning Interatomic Potentials The University of Tennessee at Chattanooga in United States
Degree Level
Master's, Postdoc
Field of study
Computer Science
Funding
The postdoctoral researcher position is a paid research appointment. The M.S. position is funded.
Country
United States
University
University of Tennessee at Chattanooga
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About this position
The PACE Lab (Predictive Atomistic Computations for Electrochemistry) in the Department of Mechanical Engineering at The University of Tennessee at Chattanooga is recruiting for two opportunities: a Postdoctoral Researcher and a funded M.S. position.
The postdoctoral project focuses on machine learning interatomic potentials (MLIPs) for electrochemistry, with applications to electrochemical interfaces and energy materials. Strong candidates will have experience in DFT, molecular dynamics, machine learning, and computational electrochemistry.
The funded M.S. opening is in Mechanical Engineering and is aimed at students interested in computational materials and electrochemistry. Applicants from Mechanical Engineering, Chemical Engineering, Materials Science, Chemistry, Physics, or related fields are encouraged to apply. Prior computational experience is helpful but not required, but strong motivation to learn computational materials modeling is desired.
This opportunity is based at The University of Tennessee at Chattanooga in the United States. Interested candidates are asked to contact Rahul Jayan directly with a CV; postdoctoral applicants should also include a brief statement of research interests and relevant experience.
Funding details
The postdoctoral researcher position is a paid research appointment. The M.S. position is funded.
What's required
Postdoctoral applicants should have experience in DFT, molecular dynamics, machine learning, and computational electrochemistry, with interest in developing and applying ML interatomic potentials to electrochemical interfaces and energy materials. The funded M.S. position is open to students with backgrounds in Mechanical Engineering, Chemical Engineering, Materials Science, Chemistry, Physics, or related disciplines. Prior computational experience is helpful but not required; strong motivation to learn computational materials modeling is desired.
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Professors
Assistant Professor of Mechanical Engineering
United States
Research Interests
Materials Chemistry
Inorganic Chemistry
Density Functional Theory
Solid State Physics
Material Chemistry, Energy Storage
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.