Research Fellow – Ultrafast Fiber Lasers & AI

About the role

The School of Electrical and Electronic Engineering at Nanyang Technological University (NTU) is looking for a highly motivated Research Fellow to push the frontiers of ultrafast fiber lasers and nonlinear optics using artificial intelligence. The position will be based in the COEB Center and the Fiber Technology Center, leveraging state‑of‑the‑art photonics facilities.

Key responsibilities

• Develop and implement Physics‑Informed Neural Network (PINN) models to simulate and predict complex nonlinear dynamics in fiber‑laser systems.
• Design, build, and optimise advanced fiber‑laser setups for experiments on soliton dynamics, modulation instability and supercontinuum generation.
• Integrate experimental data with AI models to uncover hidden physics, accelerate simulations and explore new operational regimes.
• Collaborate with interdisciplinary teams of physicists, engineers and data scientists within NTU and with external partners.
• Analyse, interpret and present research findings in high‑impact journals and international conferences.

Required profile

• Ph.D. in Electrical Engineering, Physics, Optical Engineering or a closely related field.
• Strong mathematical background and hands‑on experience designing fiber‑laser cavities for ultrashort‑pulse generation.
• Solid expertise in nonlinear optics.
• Demonstrated experience developing and applying AI/ML models for scientific research.
• Strong publication record and ability to conduct independent research.
• Excellent written and oral communication skills.

Required skills

• Physics‑Informed Neural Networks (PINNs)
• Machine Learning and AI modelling
• Nonlinear optics
• Fiber laser cavity design and ultrafast pulse generation
• Mathematical modelling of optical systems
• Data integration between experiments and AI models