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Rahul Jayan

Just Landed

2 days 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

Full funding available
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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

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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

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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