High Energy Physics Phd Expert

Mercor; San Francisco (CA); Hybrid; GBP 82,000 - 113,000; Full time

Job summary

Mercor is seeking a High Energy Physicist (PhD) for a remote, short-term contract to contribute to AI model reasoning with advanced physics.

You will tackle research-level problems, publish a few representative papers, and use LaTeX, Python, SymPy, and Jupyter to document solutions. This role requires a PhD in high energy theory or nuclear theory and English at least B2.

The engagement runs 8 to 10 weeks, at about 10 hours per week, paying $80–$110 per hour.

Qualifications

• PhD in high energy theory, nuclear theory, or closely related field.
• English at B2 or above, including written reasoning.
• Three to five representative publications.
• Experience with loop calculations in quasi-PDF areas.
• Proficient with LaTeX, Python, SymPy, and Jupyter.

Responsibilities

• Evaluate research-level physics problems to enhance AI model reasoning.
• Design and solve complex physics challenges verifiable by specialists.
• Review and audit completed work for accuracy and principles.
• Collaborate independently and asynchronously to meet deadlines and improve AI performance.
• Document solutions using LaTeX, Python, SymPy, and Jupyter.

Skills

English (B2+)

Independent work

Education

PhD in high energy theory or nuclear theory

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]