Researcher: AI/ML enhanced Computational Engineering for Scientific AI and Optimization
Core
Develop next-generation Scientific AI technologies for automatic discovery, refinement, and deployment of interpretable physical models for industrial system simulation.
Role type
Senior Researcher in Scientific Machine Learning and Computational Engineering
Builds
AI-assisted engineering methodologies, interpretable physical models, and digital twin workflows for industrial simulation
Domain
Industrial simulation, Scientific Machine Learning, Physics-based modeling
Deliverable
production ML models | research
Required skills
Python for scientific computing, Symbolic Regression, Physics-informed Machine Learning, Neural Operators, PyTorch, NumPy, SciPy, SymPy, HPC, cloud computing, numerical methods, dynamical systems
Preferred skills
Nonlinear optimization, Bayesian optimization, Evolutionary algorithms, Large Language Models, Reinforcement learning
Technologies
PyTorch, NumPy, SciPy, SymPy, Pandas, Matplotlib, Git
Responsibilities
Research and evaluate state-of-the-art methodologies in Scientific ML and physics-informed AI; Develop novel algorithms for discovering governing equations from data under partial observability; Advance algorithms for interpretable model discovery and multi-physics equation discovery
Seniority
Senior, hands-on IC with research focus