Physics PhD - Scientific Computing Expert

Obsidian; Berlin; Vor Ort; EUR 34.000 - 62.000; Vollzeit

Zusammenfassung

Mercor is hiring PhD and Master's scientists to author AI evaluation tasks for Sci Code, collaborating with leading AI labs on a new scientific benchmark. You will craft original, executable research problems that current frontier models cannot solve, emphasizing depth in multiple physics subdomains and coding for science.

You will source material, write prompts, and design grading criteria; you will calibrate with frontier models to ensure robust failure modes.

Qualifikationen

• PhD in physics, applied physics, or a closely related field.
• Demonstrated depth in at least two of: condensed matter, optics, quantum information/computing, computational physics, astrophysics, particle physics.
• Working proficiency in Python, R, or another language for scientific computing.
• Comfortable with Git/GitHub and running code in Docker; experience with PR workflows and automated checks.

Aufgaben

• Source your own material: a published paper, a Kaggle dataset, an open-source repository, or a scenario you design.
• Write scientific prompts based on the input.
• Build the grading criteria that define a correct answer.
• Calibrate against frontier models — a task ships only when strong models fail it more often than they succeed.

Kenntnisse

Python

R

Scientific computing

Git

Ausbildung

PhD in physics/related field

Tools

GitHub

Docker

Jobbeschreibung

Mercor is hiring PhD and Master's scientists to author AI evaluation tasks (Sci Code)

Mercor is partnering with leading AI labs on a new benchmark for scientific computing. You will author original, executable research problems that today's frontier models cannot solve.

Domains — depth required in at least two subdomains (with a coding focus)

• Physics — condensed matter, optics, quantum information/computing, computational physics, astrophysics, particle physics

What you'll do

• Source your own material: a published paper, a Kaggle dataset, an open-source repository, or a scenario you design

• Write scientific prompts based on the input

• Build the grading criteria that define a correct answer

• Calibrate against frontier models — a task ships only when strong models fail it more often than they succeed

Required

• PhD in physics, applied physics, or a closely related field

• Demonstrated depth in at least two of the following subdomains: condensed matter, optics, quantum information/computing, computational physics, astrophysics, particle physics

• Working proficiency in Python, R, or another relevant programming language for scientific computing

• Comfortable with Git/GitHub and running code in Docker — authoring runs through a pull-request workflow with automated quality checks

Preferred

• Publications in peer-reviewed journals

• Prior scientific software or research engineering experience

Engagement

• Duration: 6 weeks

• Commitment: part-time, 20+ hours per week

• Start date: immediate

Process

1. Upload your resume and application form

2. A 25-minute conversational interview covering your background, experience, and motivations

3. Follow up within a few days with next steps and onboarding