Mathematical Physicist – PhD

Job Description:

• Work on research-level physics problems in the worker's own subfield
• Create, solve, review, or audit physics problems depending on publication record and matched research area
• Produce complete written reasoning that another specialist can independently follow and verify
• Work on assignments involving special functions, integrable systems, permutation combinatorics for random tensor network entanglement, or conformal geometry
• Apply relevant mathematical and computational methods, including symbolic computation
• Complete an application form covering education, research experience, method self-attestation, and best-fit areas
• Provide arXiv IDs or DOIs, author position, and demonstrated methods for selected areas
• Participate in onboarding or a short live alignment call if invited
• Complete a 30–45 minute assessment if required
• Collaborate with leading researchers on projects training and enhancing AI systems

Requirements:

• PhD in mathematical physics, theoretical physics, or mathematics (hard requirement)
• Postdoctoral researchers, research scientists, and junior faculty are strongest fits
• Senior PhD students with a strong first-author record may apply
• Published work on the specific listed phenomena, not adjacent topics
• Verifiable publication record with three to five representative papers, including arXiv IDs or DOIs; first author strongly preferred
• Ability to demonstrate relevant methods in own publications
• Working proficiency with LaTeX, Python, SymPy, and Jupyter
• Some familiarity with an agentic coding extension in VS Code is useful; gaps are acceptable if declared honestly
• English at B2 level or above, including written reasoning
• Availability for 10 hours per week across an 8 to 10 week window, starting immediately
• Independent contractor engagement
• Unable to support H1-B or STEM OPT candidates
• Must provide author position and methods demonstrated for each selected research area
• Research areas include special functions, integrable systems, permutation combinatorics for random tensor network entanglement, and conformal geometry

Benefits:

• Flexible schedule with no fixed hours
• Fully remote work
• Weekly payments via Stripe or Wise based on services rendered
• Projects may be extended, shortened, or concluded early depending on needs and performance
• Competitive pay
• Opportunity to collaborate with leading researchers
• Opportunity to help shape the next generation of AI systems
• Reasonable accommodations upon request
• Up to $440 referral payment for successful referrals