Physics Researcher - High Energy Expert

Mercor; Paris; À distance; EUR 95 000 - 161 000; Temps partiel

Résumé du poste

Mercor seeks a Research Physics Expert for remote engagement. You will tackle research-level physics challenges, deriving proofs, writing code, and citing peer-reviewed sources.

You will decompose problems, author Python templates with auto-grading, and audit iterative solutions, documenting reasoning, tolerances, and tests.

Qualifications

• PhD or postdoc in the relevant subfield (senior PhD student minimum).
• Postdoc or junior professor in the subfield (PhD minimum).
• Full professor or industry research PI in the relevant subfield (senior postdoc or junior professor minimum).

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

LaTeX

Python

Jupyter

SymPy

English proficiency

Publications in subfield

Formation

PhD in relevant subfield

Postdoc or junior professor in subfield

Full professor or industry research PI in subfield

Description du poste

About The Job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position

Research Physics Expert

Type

Contract

Compensation

$80–$135/hour

Location

Remote

Commitment

:10 hours/week

Role Responsibilities

• 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.

Qualifications

Must-Have

• PhD or postdoc in the relevant subfield (senior PhD student minimum).
• Postdoc or junior professor in the relevant subfield (PhD minimum).
• Full professor or industry research PI in the relevant subfield (senior postdoc or junior professor minimum).
• Hands-on familiarity with at least two canonical methods of the target subfield, demonstrable through publications.
• 3–5 representative publications (arXiv ID or DOI), ideally within the last :5 years and in the target subfield.
• Working proficiency with LaTeX, Python, Jupyter, and SymPy.
• Strong written English (B2/C1/C2 minimum; native or near-native preferred).

Resources & Support

• For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
• For any help or support, reach out to: [e-mail]