General Information
Position: Postdoctoral Associate or PhD
Organization: Materialyze.AI, National University of Singapore
Location: Singapore
Type: Full-time
Remote Work: Hybrid
Job Description
Prof Shyue Ping Ong is launching an exciting Materialyze.AI Lab at the National University of Singapore (NUS) starting Jan 2026. We are building a well-funded interdisciplinary team at the frontier of theory, experiments, and AI to accelerate the discovery of breakthrough materials for next-generation batteries, aerospace alloys, and semiconductors, though we are highly flexible in our application areas of interest.
We are recruiting in two tracks:
Theory & AI – Develop and apply AI/ML models, interatomic potentials, and large-scale simulations to design new materials.
Experimental – Synthesize and characterize functional materials, develop high-throughput workflows, and help build automated labs integrated with AI.
Qualifications
- For Postdocs: Ph.D. (or expected completion by start date) in Materials Science, Physics, Chemistry, Chemical Engineering, Computer Science, or related disciplines.
- Track record of research excellence demonstrated through publications in leading journals.
- For the Theory/AI track: Strong expertise in computational modeling (DFT, MD, MLIPs) and/or AI/ML methods; proficiency in scientific programming (e.g., Python, PyTorch/TensorFlow, HPC).
- For the Experimental track: Strong expertise in materials synthesis and characterization; prior experience in automated labs, data-driven experimentation, or integration with computational/AI workflows is highly desirable.
- Excellent communication skills and ability to work in an interdisciplinary, collaborative environment.
Compensation and Benefits
Competitive salary & benefits
Application Process
Apply by submitting a cover letter, CV, and 3+ referee contacts via this Google Form.