Physics Expert for Postdoc to Junior Professor Focused on AI Training
Overview
A remote contractor role for Physics Experts at the postdoc or junior professor level, focused on helping train next‑generation AI systems with real-world physics input. You’ll critically review physics solutions, derivations, and arguments from researchers and AI outputs to spot errors and strengthen reasoning. Your work informs how models learn and reason, using your domain knowledge to provide precise, actionable feedback. The project emphasizes rigorous technical writing, LaTeX, SymPy, Python, and Jupyter for validation and documentation, with a US/Canada/UK focus in the candidate pool. Bolded domains you’ll work across include Physics subfields, LaTeX/Computational tools, and peer-review style feedback.
What You'll Do7
- 1Critically assess physics solutions, mathematical derivations, and theoretical arguments produced by researchers or AI systems to identify gaps.
- 2Point out missing assumptions, dimensional inconsistencies, or logical weaknesses and justify the critique with precise reasoning.
- 3Differentiate substantive scientific issues from stylistic concerns, delivering technically focused written feedback.
- 4Document the reasoning behind each flaw and provide clear, actionable guidance for improvement.
- 5Suggest optimizations to correct reasoning where appropriate and offer sharper arguments when needed.
- 6Use LaTeX, SymPy, Python, and Jupyter to verify claims or counterclaims and to support validation tasks.
- 7Deliver structured, iterative feedback aimed at improving submitted work and project outcomes.
Requirements7
- 1PhD in physics with an active independent research track in a specialized subfield (e.g., High Energy/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum Information, Optical Materials).
- 2Experience as a postdoc, research fellow, junior/assistant professor, or senior research scientist.
- 3Recent publications within the last five years in the relevant subfield with accessible arXiv or DOI references.
- 4Strong command of LaTeX, SymPy, Python, and Jupyter for modeling and computational checks.
- 5Proven ability to review others’ work through peer review, supervision, or committee roles.
- 6Excellent written communication to convey nuanced feedback with technical rigor.
- 7Reliable high‑speed internet and a capable computer for heavy computational tasks.
Who Should Apply
The ideal candidate is a PhD physicist with a current or recent independent research program in a specialized physics area and hands‑on experience using LaTeX, SymPy, Python, and Jupyter for theory work. This role fits researchers who enjoy critical evaluation, precise feedback, and documenting reasoning for improvement. It may be less suitable for those without recent publications or who lack strong technical writing in peer‑review style. Common fit gaps include limited experience with computational validation tools or insufficient track record of clear, structured feedback on complex arguments.
Salary Insight
Pay is $80 - $150 per hour and paid as a contractor. Pay details are clear in the listing and discussed as part of the engagement.
Location
Required Skills
Application Tip
Highlight a recent publication or project where you used LaTeX, Python, and Jupyter to validate a theoretical claim; mention a concrete example of providing actionable feedback on a complex derivation.
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1Application received
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