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About the Role
This opportunity involves designing and solving material engineering problems, creating computationally intensive tasks, and developing system design challenges. Contributors will verify solutions using Python and document problem statements. The process includes applying, passing qualifications, joining a project, completing tasks, and getting paid.
Responsibilities
- 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
Requirements
- Experience in Python
- Open to part-time, non-permanent projects
- Degree in Material Science or related fields
- Python proficiency for numerical validation
- 2+ years of professional experience: applied, research, or teaching experience
- Understanding of practical engineering constraints and approximations
- Strong written English (C1+)
Skills
- Python
- MATLAB
- R
- C
- SQL
- Numpy
- Pandas
- SciPy
- Domain-specific libraries
- Stata
- Programming language knowledge
Work Type
- Project-based
- Part-time
- Non-permanent employment
- 10-20 hours per week during active phases
Experience Level
- 2+ years of professional experience
Education Level
- Degree in Material Science or related fields
Salary/Compensations
- Up to $76 per hour equivalent
About the Company
- Mindrift connects specialists with project-based AI opportunities for leading tech companies.
- Mindrift focuses on testing, evaluating, and improving AI systems.