Job Title: Research Fellow (AI for Science)
Posting Start Date: 31/10/2025
Job Description
The successful candidate will work with Associate Professor Duane Loh on conducting research at the interface of Machine Learning and Microscopy under a project on Learning Spatiotemporal Motifs In Complex Materials.
The Main Responsibilities Of The Position Include
- Conduct cutting-edge research at the intersection of AI and scientific discovery, focusing on identifying spatiotemporal motifs in complex materials.
- Mentor and guide Ph.D. and Master's level students in their research projects.
- Contribute to curriculum design, teaching, and student engagement in AI-for-Science courses and seminars.
- Support the development and deployment of AI-driven tools for High-Performance Computing (HPC) applications.
Qualifications/Requirements
Qualifications / Discipline:
- PhD's degree in Physics, Materials Science, Computer Science, Data Science, Artificial Intelligence, or a related discipline from a strong institution.
Skills
- Proficient in programming languages such as Python, with experience in using AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Familiar with high-performance computing (HPC) environments and concepts.
- Knowledge of software development practices and version control systems (e.g., Git).
- Exposure to or interest in the application of AI tools to scientific or computational problems.
Experience
- Completed AI-focused final-year project(s) involving model development, training, and deployment, demonstrating a strong grasp of machine learning principles and practical implementation.
- Participated in or helped organize university events, tech talks, or seminars, indicating familiarity with event logistics and academic engagement.
- Demonstrated ability to work with high-performance computing environments during academic training, with basic knowledge of cluster usage or cloud-based AI tools
More Information
Location: Kent Ridge Campus
Organization: Faculty of Science
Department : Physics
Job requisition ID : 28718
