Post Doctoral Scholar, Physics

Responsibilities

• Performing computational modeling using DFT, GC-DFT, MD (AIMD, classical force fields, MLIP force fields)
• Developing machine learning models for liquid-solid, solid-solid, and gas-solid interfaces.
• Analyzing and disseminating research results through peer-reviewed publications and conference presentations
• Managing collaborations with other research teams (internal and external)
• Mentoring graduate and undergraduate students
• Contributing to grant proposal development and preparation

Requirements

Minimum Qualifications:

• Ph. D. in Physics, Chemistry, Materials Science, Chemical Engineering or related fields.

Preferred Qualifications:

• Strong background in heterogeneous catalysis, electrocatalysis, and/or battery technologies.
• Experience in molecular dynamics simulations (including AIMD).
• Experience with machine learning interatomic potentials.
• Strong programming experience with PyTorch for machine learning and scientific computing applications.

Additional Application Materials Required

• CV/Resume
• One-page statement summarizing candidate’s expertise, experience, research interests, and suitability for the position (Times New Roman, 11pt, single space).
• Contact information of at least 2 professional references.

Pay

$58,000.00/year

Schedule

Varies