Opening early 2027
You will
- Build surrogate and field models (Gaussian processes, ensembles, graph neural networks or neural operators) that predict solver results with honest uncertainty
- Own evaluation suites and calibration
- Turn test and solver data into better models every week
You bring
- Strong PyTorch and scientific ML experience
- Experience with simulation data or engineering datasets
- A habit of measuring before claiming