High Energy Physics Phd Expert

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

Job summary

Mercor is seeking a High Energy Physicist (PhD) for a remote contract project of 8 to 10 weeks, requiring about 10 hours per week. You will evaluate research-level physics problems to improve AI model reasoning and design verifiable solutions using LaTeX, Python, SymPy, and Jupyter.

Applicants should hold a PhD in high energy theory or closely related field, have a publication record with representative papers, and demonstrate English proficiency at B2 or higher, including written reasoning.

Qualifications

• PhD in high energy theory, nuclear theory, or closely related field.
• Published work on specific phenomena.
• Loop-calculation experience for quasi-PDF 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.

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 specialists.
• Review and audit completed work for accuracy and adherence to domain principles.
• Collaborate independently and asynchronously to meet deadlines and improve AI model performance.
• Utilize LaTeX, Python, SymPy, and Jupyter for problem-solving and documentation.

Skills

English proficiency B2

Education

PhD in high energy theory / nuclear theory or related

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: High Energy 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 specialists.
• Review and audit completed work for accuracy and adherence to domain principles.
• Collaborate independently and asynchronously to meet deadlines and improve AI model performance.
• Utilize LaTeX, Python, SymPy, and Jupyter for problem-solving and documentation.

Qualifications

Must-Have

• PhD in high energy theory, nuclear theory, or a closely related field.
• Published work on specific phenomena, not adjacent ones.
• Loop-calculation experience for quasi-PDF areas.
• Verifiable publication record with three to five representative papers.
• Working 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]