Frontier Physics Researcher: Golden References for CritPt

Mercor; Paris; Sur place; EUR 95 000 - 161 000; Temps partiel

Résumé du poste

Mercor is seeking expert physics researchers to author and verify golden reference solutions for frontier physics benchmarks. You will solve research-level problems end-to-end with verifiable derivations, code, and peer-reviewed references, auditing and adjudicating between competing solutions.

The role involves decomposing challenges into checkpoint sub-problems, writing Python templates with auto-grading functions, and documenting reasoning and verification tests.

Qualifications

• PhD or postdoc in the relevant subfield (senior PhD student minimum)
• Hands-on familiarity with at least two canonical methods of the target subfield, demonstrated by publications
• Strong written English (B2/C1/C2 minimum) and ability to document reasoning clearly

Responsabilités

• Solve research-level physics challenges end-to-end with verifiable derivations, code, and peer-reviewed references
• Decompose challenges into standalone checkpoint sub-problems requiring genuine physical reasoning
• Author Python answer templates with auto-grading functions for symbolic or numerical answers
• Audit submitted solutions for correctness, scope, and method soundness; deliver actionable feedback across iterations
• Adjudicate between parallel solver attempts and decide which solution becomes the golden reference
• Document chain-of-thought reasoning, error tolerances, equivalent symbolic forms, and verification test cases

Connaissances

Python

LaTeX

Jupyter

SymPy

English writing

Formation

PhD or postdoc in physics

Outils

Python

Jupyter

SymPy

LaTeX

Description du poste

Mercor is seeking expert physics researchers to author and verify golden reference solutions for frontier physics benchmarks. You will solve research-level problems end-to-end with verifiable derivations, code, and peer-reviewed references, auditing and adjudicating between competing solutions.

The role involves decomposing challenges into checkpoint sub-problems, writing Python templates with auto-grading functions, and documenting reasoning and verification tests.