
Mathematical Physicist – PhD
Posted 5 days ago

Posted 5 days ago
This is a fully remote position, open to applicants in United States.
• Develop, analyze, review, or audit research-level physics problems within the applicant's specialized subfield.
• Produce comprehensive written reasoning that can be independently followed and verified by another expert.
• Engage with benchmark challenges involving special functions, integrable systems, permutation combinatorics, or conformal geometry.
• Utilize pertinent mathematical and computational techniques to address assigned problems.
• Fill out the application form detailing education, research experience, method self-attestation, and relevant publications.
• Participate in a brief live alignment call if necessary.
• Undertake a 30–45 minute assessment only if required.
• Collaborate asynchronously on projects focused on AI training and enhancement.
• A PhD in mathematical physics, theoretical physics, or mathematics is mandatory.
• Postdoctoral researchers, research scientists, and junior faculty are ideal candidates.
• Senior PhD students with a strong record as a first author are also welcome to apply.
• Published research on at least one of the specified phenomena, rather than just related topics.
• A verifiable publication record with three to five representative papers, including arXiv IDs or DOIs; first author status is highly preferred.
• Publications should demonstrate relevant methods in areas such as special function analysis, integrability, combinatorics, or geometry.
• Proficiency in LaTeX, Python, SymPy, and Jupyter is required.
• Familiarity with an agentic coding extension in VS Code is advantageous.
• English proficiency at B2 level or higher, including strong written reasoning skills.
• A commitment of 10 hours per week over an 8 to 10 week period is expected.
• Capability to work as an independent contractor is essential.
• Applicants must not require H1-B or STEM OPT sponsorship.
• Must specify author position and demonstrate methods for each selected research area.
• Work remotely and asynchronously without fixed hours.
• Enjoy a flexible schedule.
• Receive weekly payments via Stripe or Wise based on services provided.
• Collaborate with leading researchers in the field.
• Engage in projects that train and enhance AI systems.
• Reasonable accommodations available upon request.
• Earn up to $440 for each successful referral, subject to limits.
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