Participation is project-based, not permanent employment.
Responsibilities
- Design original computational mathematics problems that simulate real mathematical research workflows.
- Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy).
- Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks).
- Develop problems requiring non‑trivial reasoning chains in areas such as number theory, combinatorics, graph theory, and numerical analysis.
- Base problems on real research challenges or practical applications from mathematical practice.
- Verify solutions using Python with standard mathematical libraries.
- Document problem statements clearly and provide verified correct answers.
Qualifications
- Degree in Mathematics (Pure or Applied) or related fields.
- Python proficiency for numerical validation. Knowledge of other programming languages such as MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain‑specific libraries, or Stata can be equivalent.
- 2+ years of professional experience: applied, research, or teaching experience is applicable.
- Experience with numerical methods and symbolic computation.
- Ability to design problems that mirror real mathematical research workflows.
- Familiarity with computational complexity theory.
- Strong written English (C1+).
Project Time Expectations
Tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.
Compensation
Contributors can earn up to $45 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise.
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