hour

24-Mag•New York, NY

1d•Remote

About The Position

We are sharing a specialised part-time consulting opportunity for PhD-level physicists and advanced-stage doctoral researchers with deep expertise in theoretical, computational, or experimental physics to contribute to an advanced AI training and scientific problem-solving project. Selected professionals will solve research-level physics problems within their areas of specialisation, produce rigorous mathematical derivations, verify results computationally where appropriate, and document their reasoning to professional research standards. The work requires strong physical intuition, mathematical and computational fluency, and the ability to communicate complex scientific reasoning with precision. No prior experience in AI is required.

Requirements

PhD in physics or advanced-stage PhD candidacy with active research experience
Research expertise in one or more areas including High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter Physics, AMO or Quantum Optics, Gravitation, Cosmology, Astrophysics, Quantum Information, or Optical Properties of Materials
Relevant condensed matter experience may include areas such as moiré systems, magnetism, or PXP/Rydberg systems
Strong mathematical and computational problem-solving ability
Proficiency with LaTeX for technical and mathematical writing
Familiarity with SymPy, Python, and Jupyter for computational verification
Ability to identify assumptions, boundary conditions, dimensional issues, and subtle technical edge cases
Demonstrated excellence in written scientific communication
Strong ability to isolate key physical principles and construct nuanced solutions to complex problems
Ideally able to provide 2–5 representative recent publications from approximately the past five years, with accessible arXiv or DOI records
No prior experience in AI training or model evaluation is required

Responsibilities

Solve challenging physics problems within your area of research expertise
Develop rigorous derivations and technically defensible analyses
Identify the core physical principles governing complex problem settings
State assumptions, approximations, and limitations explicitly
Address special cases, limiting regimes, and relevant boundary conditions where necessary
Produce precise, well-structured solutions using appropriate mathematical notation
Use LaTeX to present derivations, equations, assumptions, and final results clearly
Check dimensional consistency and mathematical validity throughout solutions
Identify subtleties or ambiguities in problem statements before drawing conclusions
Maintain documentation standards consistent with professional scientific research
Use Python, SymPy, Jupyter, or comparable tools for symbolic and numerical verification where appropriate
Develop clear computational workflows supporting analytical results
Validate calculations through independent numerical or symbolic checks
Document computational methodology sufficiently for results to be reproduced
Distinguish numerical approximations from exact analytical conclusions
Flag ambiguous, incomplete, or technically problematic project materials
Propose well-reasoned interpretations or clarifications when necessary
Respond to reviewer feedback and revise technical solutions accordingly
Integrate corrections cleanly while preserving consistency across derivations and conclusions
Maintain rigorous quality, clarity, and reproducibility across project submissions

Benefits

Part-time independent contractor engagement
Fully remote
Open to candidates worldwide
Compensation: $100–$200/hour
Expected commitment: approximately 10–15+ hours per week
Schedule is fully flexible and can accommodate evenings or weekends
Expected project duration is approximately 8–10 weeks
Consistent availability of approximately 10 hours per week is preferred throughout the engagement

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