Physics Research Coding Benchmark Author
IXO is engaging specialists to evaluate physics coding tasks whose numerical outputs reflect correct physical reasoning. Your contribution is technical work: make the reasoning inspectable, identify substantive errors and provide evidence that supports a reliable assessment.
Work you will do
- Construct computational challenges from the physics areas in which you have research depth.
- Build a reproducible code environment and reference solution, checking both the implementation and the physical interpretation.
- Specify meaningful evaluation criteria and explain numerical or conceptual failures without substituting a hardcoded answer for a valid method.
Required background and routes
- A completed PhD in physics, applied physics or a related discipline, with demonstrated depth in at least two of particle physics, astrophysics, computational physics, quantum information/computing, optics and condensed matter.
- Scientific programming in Python or R (another suitable scientific language is acceptable for the science tracks); use Git/GitHub and Docker to submit reproducible work through pull requests and automated checks.
Preferred background
- Peer-reviewed publications, research software development or research-engineering experience.
Deliverables
- Submit the completed technical artifact or assessment with its supporting evidence, explicit assumptions, reproducible checks where applicable, and concise reasons for each material judgment. Address review findings within the agreed scope.
Location and schedule
Remote assignments are scheduled by agreement, with no guaranteed weekly volume. Availability planning can include 40, 20 hours per week depending on the track. Indicative assignment lengths include 6 weeks. IXO confirms the applicable timing before work.
Pay and working terms
$75/hr USD. The agreed hourly rate, scope, schedule and acceptance criteria are confirmed before work starts. Applying does not guarantee an assignment. Use public, licensed or otherwise authorized material only; do not submit confidential employer information, personal data or restricted research.
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