Physics Expert (PhD / Postdoc) for AI Systems Training

Job title: Physics Expert (PhD / Postdoc) for AI Systems Training

About the Role We are engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge and problem-solving skills to a high-impact project aimed at training next-generation AI systems. In this role, you'll apply your physics expertise to help models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required; your domain knowledge is what matters.

What You'll Do

• Solve advanced physics problems from your specialization, delivering rigorous, well-documented derivations and analyses.
• Produce technically precise, clearly written solutions, detailing all assumptions, approximations, and final results using LaTeX notation.
• Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational workflows where relevant.
• Identify and articulate subtleties in problem statements, including special cases, boundary conditions, and dimensional consistency.
• Flag ambiguities in project materials, proposing well-reasoned interpretations and clarifications as needed.
• Iterate on submitted solutions in response to feedback from project reviewers, ensuring corrections are cleanly integrated.
• Uphold rigorous standards in documentation and reproducibility consistent with professional research practice.

What We're Looking For

• PhD in physics or advanced-stage PhD candidacy, with active research experience in a relevant subfield.
• Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter (including moiré systems, magnetism, PXP/Rydberg), AMO/Quantum Optics, Gravitation, Cosmology, Astrophysics, Quantum Information, or Optical Properties of Materials.
• 2–5 recent representative publications (past ~5 years) in your field, with accessible arXiv or DOI records.
• Proficiency with LaTeX for presenting mathematics, and with SymPy, Python, and Jupyter for computational work; willingness to indicate areas for further support if needed.
• Demonstrated excellence in written technical communication, with a track record of producing clear, precise, and well-argued scientific outputs.
• Strong analytical skills, able to isolate key physical principles and provide nuanced solutions to complex problems.
• Availability to engage with the project consistently over an 8–10 week period (approx. 10 hours/week).

Nice to Have

• 2–5 recent representative publications in your field, with accessible arXiv or DOI records (as supplementary to the required qualifications).
• Active research experience in one or more of the listed subfields with evidence of collaborative work.
• Demonstrated self-motivation and ability to communicate clearly in written form, with a willingness to indicate areas for further support if needed.

Compensation & Benefits

• This role is contract-based / freelancing, remote, with an 8–10 week engagement at approximately 10 hours per week.
• Salary details are not specified in the posting.