
Intern - Hardware (EAD, Acoustic Simulation)
- Singapore
- Training
- Full-time
- Develop and apply scientific machine learning models to solve partial differential equations and acoustic problems
- Review recent advancements in scientific machine learning and contribute insights
- Document and publish results obtained during the internship.
- Currently pursuing a degree in Computer Science, Acoustics, Engineering or a related field
- High degree of independence and problem-solving skills
- Experience in machine learning model development
- Proficiency in Python and deep learning frameworks such as PyTorch
- Background in acoustics or solving PDEs is a plus.