Statistical Physics Phd - Researcher

Mercor; San Francisco (CA); Hybrid; GBP 83,000 - 115,000; Full time

Job summary

Mercor is seeking a Statistical Physics and Thermodynamics Physicist (PhD) for a remote, short-term contract to support AI model reasoning. Compensation is $80–$110 per hour.

The role runs for 8–10 weeks, with a commitment of 10 hours per week, and requires a PhD with publications and proficiency in LaTeX, Python, SymPy, and Jupyter, plus English at B2 or higher. You will work asynchronously with AI teams to deliver peer-verified results.

Qualifications

• PhD in statistical physics, mathematical physics or a closely related field.
• Published work on specific phenomena listed in the research areas.
• Verifiable publication record with three to five representative papers.
• Proficiency with LaTeX, Python, SymPy, and Jupyter.
• English at B2 or above.

Responsibilities

• Evaluate research-level physics problems in your subfield to enhance AI model reasoning.
• Design and solve complex physics challenges, ensuring solutions are verifiable by peers.
• Review completed work and provide structured feedback to improve AI model outputs.
• Collaborate with AI research teams to align on problem-solving methodologies.
• Work independently and asynchronously to meet deadlines with flexible hours.

Skills

LaTeX

Python

SymPy

Jupyter

English (B2+)

Education

PhD in Statistical Physics or Mathematical Physics

Tools

LaTeX

Python

SymPy

Jupyter

Job description

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: Statistical Physics and Thermodynamics Physicist (PhD)
Type: Contract
Compensation: $80–$110/hour
Location: Remote
Duration: 8 to 10 weeks
Commitment: 10 hours/week

Role Responsibilities

• Evaluate research-level physics problems in your subfield to enhance AI model reasoning.
• Design and solve complex physics challenges, ensuring solutions are verifiable by peers.
• Review completed work and provide structured feedback to improve AI model outputs.
• Collaborate with AI research teams to align on problem-solving methodologies.
• Work independently and asynchronously to meet deadlines with flexible hours.

Qualifications

Must-Have

• PhD in statistical physics, mathematical physics or a closely related field.
• Published work on specific phenomena listed in the research areas.
• Verifiable publication record with three to five representative papers.
• Proficiency with LaTeX, Python, SymPy, and Jupyter.
• English at B2 or above, including written reasoning.

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]