Role OverviewDesign graduate-level computational problems using domain-specific scientific software libraries, evaluating AI systems' ability to solve research-grade problems. Work independently and asynchronously to iterate on problem designs based on calibration feedback.
What You Will Do
Design computational problems, evaluate AI systems, develop experimental strategies, calibrate tasks, and utilize astropy and related tools.
Why It Might Be a Fit
Must have graduate-level training in a relevant STEM domain, demonstrated proficiency with scientific software libraries, and strong Python programming skills.
Requirements
- Graduate-level training in a relevant STEM domain (MS, PhD, or equivalent research experience)
- Demonstrated proficiency with scientific software libraries
- Strong Python programming skills
- Ability to work in a Linux/terminal environment with remote compute sandboxes
- Available for at least 15–20 hours per week
]]>