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Rahul Jayan

3 months ago

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 flag

Country

United States

University

University of Tennessee at Chattanooga

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Keywords

Computer Science
Chemistry
Mechanical Engineering
Chemical Engineering
Materials Science
Molecular Dynamics
Density Functional Theory
Energy Materials
Physics
Computational Materials Science

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

University Name
Country flag

United States

Research Interests

Materials Chemistry

Inorganic Chemistry

Density Functional Theory

Solid State Physics

Material Chemistry, Energy Storage