[Hiring] Physics Expert @Xperteez Technology

Role Description

We are engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge and problem-solving skills to a high-impact customer project. 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.

Qualifications

• PhD in physics or advanced-stage PhD candidacy, with active research experience in a relevant subfield.
• Research expertise in one or more of:
  • High Energy Physics
  • Mathematical Physics
  • Biophysics
  • Statistical Physics
  • Condensed Matter (including moiré systems, magnetism, PXP/Rydberg)
  • AMO/Quantum Optics
  • Gravitation
  • Cosmology
  • Astrophysics
  • Quantum Information
  • Optical Properties of Materials
• 2–5 recent representative publications (past ~5 years) in your field, with accessible arXiv or DOI records.
• Proficiency with LaTeX for presenting mathematics, and with SymPy, Python, and Jupyter for computational work; willingness to indicate areas for further support if needed.
• Demonstrated excellence in written technical communication, with a track record of producing clear, precise, and well-argued scientific outputs.
• Strong analytical skills, able to isolate key physical principles and provide nuanced solutions to complex problems.
• Availability to engage with the project consistently over an 8–10 week period (approx. 10 hours/week).

Requirements

• Physics Mastery
• Written Technical Communication
• Technical Problem-Solving Depth
• Mathematical & Computational Fluency

Scope of Work

• Solve advanced physics problems from your specialization, delivering rigorous, well-documented derivations and analyses.
• Produce technically precise, clearly written solutions, detailing all assumptions, approximations, and final results using LaTeX mathematical notation.
• Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational workflows where relevant.
• Identify and articulate subtleties in problem statements, including special cases, boundary conditions, and dimensional consistency.
• Flag ambiguities in project materials, proposing well-reasoned interpretations and clarifications as needed.
• Iterate on submitted solutions in response to feedback from project reviewers, ensuring corrections are cleanly integrated.
• Uphold rigorous standards in documentation and reproducibility consistent with professional research practice.