Participation is project-based, not permanent employment.

• 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

• Degree in Mathematics (Pure or Applied) or related fields
• Python proficiency for numerical validation

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