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.

Originally posted on Himalayas