Researcher: AI/ML enhanced Computational Engineering for Scientific AI and Optimization
Tasks
- Advance symbolic regression techniques
- Conduct multi physics equation discovery
- Derive interpretable physical models
- Develop governing equation discovery methods
- Evaluate scientific discovery under uncertainty
- Improve physics informed AI algorithms
- Perform hidden state inference for scientific systems
- Research scientific machine learning methodologies
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | Bayesian optimization | Cloud Computing | Dynamical systems | Evolutionary Algorithms | Git | HPC | Language Models | Large Language Models | Machine Learning | Matplotlib | Neural operators | Nonlinear Optimization | NumPy | Numerical Methods | Optimization | Pandas | Physics-informed machine learning | PyTorch | Python | Reinforcement Learning | SciPy | Scientific machine learning | SymPy | Symbolic regression
Education
Bachelor of Engineering | Master of Science | Master of Technology | PhD
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