Mathematics PhD Coding Experts

• Mathematics — numerical linear algebra, computational mechanics, computational finance

• →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

• PhD in mathematics, applied mathematics, computational mathematics, or a closely related field
• Demonstrated depth in at least two of the following subdomains: numerical linear algebra, computational mechanics, computational finance
• Working proficiency in Python or R for scientific computing
• Comfortable with Git/GitHub and running code in Docker — authoring runs through a pull-request workflow with automated quality checks

• Publications in peer-reviewed journals
• Prior scientific software or research engineering experience

• Duration: 6 weeks
• Commitment: part-time, 20+ hours per week
• Start date: immediate

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

Apply today and put your research expertise to work building the next generation of scientific AI.

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.