Das ist der Job
Participation is project-based, not permanent employment.
Darum lohnt es sich
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. #J-18808-Ljbffr
