We’re looking for established Professors or Principal Investigators with deep expertise in High Energy Physics / Mathematical Physics to contribute to an impactful project focused on training next-generation AI systems.What you’ll doAdjudicate contested or competing physics arguments, solutions, and interpretationsCompare alternative approaches and assess their validity, assumptions, and regimes of applicabilityIdentify approximation breaking points and robustness criteriaProvide calibrated, defensible judgments suitable for review by senior physicistsClearly distinguish established results from genuine uncertainty or open questionsUse tools such as LaTeX, SymPy, Python, and Jupyter to verify technical claims when neededIdeal backgroundWe’re particularly interested in researchers with experience in areas including:AdS/CFTOn-shell gravitational actionWeyl–Fefferman–Graham gaugeTensor algebra of boundary curvature invariantsPreferred qualifications:PhD in Physics with demonstrated research expertise and scholarly impactCurrent or former Associate Professor, Full Professor, Chair Professor, or Principal Investigator/Group LeaderActive research profile and recent publications in the relevant subfieldExperience supervising PhD students/postdocs or equivalent research leadershipStrong technical writing and rigorous analytical judgmentAI experience is not required — your physics expertise is what matters.

Physics Expert (High Energy / Mathematical Physics)

Emma

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