Physics Research Expert (Solver)

Nextmark; Northern (KY); On-site; USD 110,000 - 170,000; Full time

Job summary

Nextmark seeks a physics-trained researcher to help train next-generation AI systems by applying domain knowledge to provide authentic insights and rigorous mathematical analyses for model training and evaluation.

PhD in physics is required; 2–5 publications in the last 5 years with arXiv/DOI links, and proficiency in LaTeX, Python, SymPy, and Jupyter are essential for independent, high-quality research in the US/UK/Canada.

Qualifications

• PhD (or senior PhD student) in physics with active, ongoing research in targeted subfields.
• 2–5 representative publications (last 5 years) with arXiv/DOI links.
• Expertise in mathematical modeling, derivations, and proofs at a publication-worthy standard.
• Proficient in LaTeX, Python, SymPy, and Jupyter (flag any skill gaps).
• Exceptional written and verbal communication; ability to explain complex concepts clearly.
• Must be based in the US, UK, or Canada (rare exceptions for exceptional candidates).

Responsibilities

• Contribute deep domain expertise for AI training initiatives.
• Formulate, solve, and document advanced mathematical physics problems.
• Develop and validate computational models, simulations, and analytical solutions using Python, SymPy, and Jupyter.
• Produce publication-level written explanations and derivations with clear reasoning.
• Communicate complex concepts to project coordinators and the AI team.
• Work independently to tackle challenging, novel research problems.

Skills

Python

SymPy

Jupyter

LaTeX

Math modeling

Independent work

Technical writing

Verbal communication

Education

PhD in Physics

Tools

LaTeX

Python

SymPy

Jupyter

Job description

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.

Key Responsibilities

• Contribute deep domain expertise in your specialized physics subfield, providing authentic, up-to-date insights for AI training initiatives.
• Formulate, solve, and document advanced mathematical physics problems using rigorous methodologies.
• Develop and validate computational models, simulations, and analytical solutions leveraging Python, SymPy, and Jupyter environments.
• Produce high-quality, publication-level written explanations and derivations with clear, structured reasoning.
• Clearly communicate complex concepts and solutions through both written and verbal exchanges with project coordinators and the technical AI team.
• Work independently to navigate and resolve challenging, novel research problems aligned with the assigned subfield.
• Leverage your experience to review, critique, and improve problem solutions, ensuring accuracy and clarity for AI training.

Required Skills & Qualifications

• PhD (or senior PhD student) in physics with active, ongoing research in one or more targeted subfields: High Energy/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology/Astrophysics, Quantum Information, or Optical properties of materials.
• 2–5 representative publications (last 5 years) in the relevant subfield, with available arXiv/DOI links.
• Expertise in mathematical modeling, derivations, and system proofs at a publication-worthy standard.
• Proficient in LaTeX, Python, SymPy, and Jupyter (flag any skill gaps).
• Exceptional written and verbal communication skills—clarity, accuracy, and the ability to explain intricate concepts are essential.
• Demonstrated ability to work independently and execute research tasks with minimal supervision.
• Must be based in the US, UK, or Canada (rare exceptions for truly exceptional candidates).

Preferred Qualifications

• Experience in AI training or interdisciplinary computational research projects.
• Recognition as a thought leader, contributor, or reviewer in your physics subfield.