Advisor - Scientific Machine Learning Scientist - Drug Delivery Device Development
US: Indianapolis IN Tech Center North, United States
USD 126K-204K Entry-level Full Time
Tasks
- Build multi-scale models
- Collaborate with cross-disciplinary teams
- Communicate insights to leadership
- Deploy models on HPC and cloud infrastructure
- Develop business cases for ML investments
- Develop physics-informed neural networks
- Implement uncertainty quantification methods
- Mentor team members in modeling techniques
- Publish research in peer-reviewed journals
- Translate scientific problems into modeling solutions
Perks/Benefits
Skills/Tech-stack
Active Learning | Bayesian Methods | CFD | CI/CD | CUDA | Data Visualization | Deep learning | DeepONets | FEM | FNOs | GPU | Gaussian Processes | HPC | JAX | Machine Learning | Model risk | Model risk assessment | Molecular Dynamics | Neural Networks | Physics Informed Neural Networks | PyTorch | Python | Risk Assessment | Scientific Computing | Scientific Computing Libraries | TensorFlow | Version control
Education
Doctorate in computational science | Engineering | Mathematics | Physics
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