Physics-Informed Machine Learning with Applications in Hydrogen Fuel Propulsion Systems
Amsterdam, Noord-Holland, Nederland
EUR 27K-30K (estimate) Entry-level Full Time
Tasks
- Assess suitable hydrogen fuel propulsion sub systems for PIML modelling
- Benchmark against state of the art methods
- Conduct literature review on PIML and hydrogen fuel propulsion PHM
- Design PIML framework
- Ensure model interpretability
- Implement PIML framework
- Model key phenomena in selected sub systems
- Predict behaviour and degradation
- Quantify prediction uncertainty
- Validate on real world or high fidelity simulation datasets
Perks/Benefits
- N/A
Skills/Tech-stack
Fuel cell | Health management | Machine Learning | Physics-informed machine learning | Prognostics and Health Management | PyTorch | Python | Uncertainty Quantification
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