Research
Physics Expert (Postdoc / Junior professor)
Status: Open
- Pay
- $80–$150/hr
- Location
- Remote — (US, Canada, UK focused)
- Employment type
- Contractor
- Openings
- 30
- Posted
- 2026-08-03
About this opportunity
Role Title: Physics Expert (Postdoc / Junior professor)
Role Type: Contractor
Location: Remote (US, Canada, UK focused)
micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Scope of Work
- Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments generated by researchers or AI platforms.
- Detect errors, unjustified steps, missing assumptions, dimensional inconsistencies, and weaknesses in logic or methodology.
- Delineate between substantive scientific issues and stylistic or cosmetic matters, providing technically precise written feedback.
- Articulate and document the reasoning behind any identified flaws, ensuring actionable guidance for improvement.
- Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the argument.
- Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific claims as appropriate.
- Deliver structured feedback designed to support iterative enhancement of submitted work and project outcomes.
Preferred Qualifications
- PhD in physics and an active record of independent research within a specialized subfield (e.g., High Energy/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum Information, or Optical Materials).
- Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior research scientist.
- Recent (last ~5 years) representative publications in the relevant subfield, with arXiv or DOI links.
- Advanced proficiency with LaTeX, SymPy, Python, and Jupyter for theoretical modeling and computational validation.
- Demonstrated skill in reviewing the work of others—through peer review, supervision, dissertation committees, or group seminars.
- Exceptional written communication skills with the ability to convey nuanced, constructive feedback with technical rigor.
- Reliable access to high-speed internet and a computer suitable for rigorous technical work.
Required skills
- Physics Mastery
- Written Technical Communication
- Critical Evaluation & Error Detection
- Calibrated Technical Judgment
- Verification & Cross-Checking Fluency
What you'll do
- Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments generated by researchers or AI platforms.
- Detect errors, unjustified steps, missing assumptions, dimensional inconsistencies, and weaknesses in logic or methodology.
- Delineate between substantive scientific issues and stylistic or cosmetic matters, providing technically precise written feedback.
- Articulate and document the reasoning behind any identified flaws, ensuring actionable guidance for improvement.
- Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the argument.
- Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific claims as appropriate.
- Deliver structured feedback designed to support iterative enhancement of submitted work and project outcomes.
Preferred qualifications
- PhD in physics and an active record of independent research within a specialized subfield (e.g., High Energy/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum Information, or Optical Materials).
- Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior research scientist.
- Recent (last ~5 years) representative publications in the relevant subfield, with arXiv or DOI links.
- Advanced proficiency with LaTeX, SymPy, Python, and Jupyter for theoretical modeling and computational validation.
- Demonstrated skill in reviewing the work of others—through peer review, supervision, dissertation committees, or group seminars.
- Exceptional written communication skills with the ability to convey nuanced, constructive feedback with technical rigor.
- Reliable access to high-speed internet and a computer suitable for rigorous technical work.