About the role
AI summarisedResearch Engineer position at A*STAR IHPC focused on developing Physics Foundation Models and AI for Science to accelerate simulations in semiconductor and advanced manufacturing industries.
ResearchOnsite
Key Responsibilities
- Implementing and optimizing neural operator architectures for modelling PDE-governed physical systems
- Developing graph-based representations of numerical solvers and integrating them into machine learning frameworks
- Building and maintaining machine learning pipelines for scientific simulations including data generation, training, and evaluation
- Integrating deep learning models with physics-based simulation workflows
- Optimizing computational performance using GPU acceleration and high-performance computing platforms
- Supporting the development of research prototypes and experimental platforms
- Collaborating with interdisciplinary teams working on machine learning, physics, and engineering applications
Requirements
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, Computational Physics, Applied Mathematics, or related disciplines
- Strong programming skills in Python with experience in deep learning frameworks such as PyTorch or JAX
- Experience with scientific computing, numerical simulation, or PDE-based modelling
- Familiarity with graph neural networks, neural operators, or physics-informed machine learning
- Experience with GPU computing, parallel computing, or high-performance computing environments
- Knowledge of software engineering practices including version control and reproducible research workflows
- Strong problem-solving skills and ability to work effectively in a collaborative research environment