What this opportunity involves
* Design original material engineering problems that simulate real engineering workflows.
* Create problems requiring Python programming to solve engineering calculations and simulations.
* Ensure problems are computationally intensive and require numerical methods or iterative solutions.
* Develop problems involving system design, optimization, and analysis.
* Base problems on real research challenges or practical applications from engineering practice.
* Verify solutions using Python with standard engineering libraries.
* Document problem statements clearly and provide verified correct answers.
What we look for
* Degree in Material Science or related fields.
* Python proficiency for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain‑specific libraries, Stata or any comparable programming language.
* 2+ years of professional experience (applied, research, or teaching).
* Understanding of practical engineering constraints and approximations.
* Strong written English (C1+).
* Open to part‑time, non‑permanent projects.
Project time expectations
For this project, 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 $29 per hour equivalent on this project.
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