Physics Expert (High Energy/Mathematical Physics)

Role Title: Physics Expert (High Energy/Mathematical Physics)

Role Type: Contractor.

Location: Remote

micro1 is engaging Physics Experts—established Professors or Principal Investigators—to provide high-level domain guidance as part of an impactful project for a customer. 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.

Scope of Work

Adjudicate and render expert judgment on contested or competing physics arguments, solutions, or interpretations within your subfield. Compare alternative approaches to the same problem, detailing which is superior, under what assumptions, and in which regimes. Identify and articulate meta-level criteria for evaluating the robustness and validity of competing physics work, such as key assumptions and breaking points of approximations. Exercise calibrated confidence by providing authoritative assessments while transparently acknowledging genuine uncertainty or open questions in the field. Draft defensible written evaluations suitable for review by fellow senior physicists, ensuring clarity and rigor. Leverage technical tools such as LaTeX, SymPy, Python, and Jupyter to verify or contrast technical claims as needed. Clearly communicate when a question is unresolved within the field and delineate the pertinent considerations.

Preferred Qualifications

PhD in physics with demonstrated expertise and scholarly impact in your specified subfield. Current or former Associate Professor, Full Professor, Chair Professor, or Principal Investigator/Group Leader with a track record of independent research leadership. Ongoing research activity with one or more of these methods: AdS/CFT, onshell gravitational action, Weyl– Fefferman– Graham gauge and/or tensor-algebra of boundary curvature invariants 3–5 recent representative publications in your target subfield, with arXiv or DOI references. Prior experience supervising PhD students or postdocs, or equivalent leadership in industry research settings. Proficiency with LaTeX, SymPy, Python, and Jupyter (please indicate any gaps in experience with these tools). Exceptional written communication skills, with the ability to articulate nuanced and well-reasoned judgments.