Scientific Computing Expert — Mathematics PHD - $300/Approved Task

About this opportunity

Turing is seeking Mathematics experts to develop realistic, terminal-based scientific tasks for Terminal Bench Science. The role focuses on numerical analysis, optimization, statistics, mathematical modeling, probability, dynamical systems, and computational mathematics, while evaluating whether AI agents can formulate mathematical problems, implement reliable algorithms, operate in terminal environments, debug numerical workflows, and produce verifiable computational results.

What the listing describes

• ✓Design and build authentic computational mathematics tasks in self-contained, multi-step terminal environments
• ✓Create tasks containing datasets, equations, model definitions, constraints, and expected outputs
• ✓Implement expert solutions using Python, R, Julia, C/C++, Bash, or other relevant tools
• ✓Work on areas such as optimization, numerical integration, differential equations, matrix computation, statistical inference, stochastic modeling, and algorithm analysis
• ✓Define rigorous grading criteria covering numerical accuracy, convergence, complexity, feasibility, and mathematical correctness
• ✓Establish appropriate tolerances, stopping criteria, stability requirements, and reproducibility controls
• ✓Develop automated tests and debug issues across edge cases and alternative valid implementations
• ✓Troubleshoot floating-point precision, solver failures, conditioning, convergence, and performance issues
• ✓Document assumptions, mathematical formulations, expected outputs, and known limitations

Requirements shown on the source

• ✓Ph.D., postdoctoral experience, or equivalent advanced technical experience in mathematics, statistics, or a closely related discipline
• ✓Strong programming skills in Python, R, Julia, C/C++, Bash, or another relevant language
• ✓Experience working in Linux or terminal-based environments
• ✓Experience with numerical methods, optimization, statistics, mathematical modeling, or scientific computation
• ✓Ability to independently implement, test, and validate computational algorithms

Relevant backgrounds mentioned

• ✓Advanced expertise in computational mathematics
• ✓Experience developing numerical algorithms and scientific computing workflows
• ✓Experience creating automated tests for computational tasks
• ✓Experience evaluating AI agents or AI-generated scientific solutions
• ✓Experience with terminal-based benchmark environments