Research Fellow (Ultrafast Fiber Lasers and academic)

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduates students and 1,000 graduate students it is one of the largest EEE schools in the world and ranks 10th in the field of Electrical & Electronic Engineering in the 2024 QS World University Rankings by Subjects.

The School of Electrical and Electronic Engineering (EEE) at NTU offers an exceptional research environment for the proposed project. The research will be conducted at the COEB Center (Center for OptoElectronics and Biophotonics) and the Fiber Technology Center. The COEB Center focuses on advanced research in the development of ultrafast fiber lasers and their practical applications. Where the Fiber Technology Center is part of the Photonics Research Institute. This center boasts cutting-edge facilities for various aspects of fiber design and fabrication, including MOCVD, a fiber drawing tower, and a range of fiber characterization equipment.

We are seeking a highly motivated and skilled Research Fellow to join our team in advancing the frontier of nonlinear optics through the integration of artificial intelligence. The successful candidate will lead projects that combine the development of Physics-Informed Neural Networks (PINNs) with advanced fiber laser experimentation to study and control complex nonlinear dynamics.

Key Responsibilities:

• Develop and implement Physics-Informed Neural Network (PINN) models to simulate, predict, and analyze complex nonlinear dynamics in optical systems, particularly fiber lasers.

• Design, build, and optimize state-of-the-art fiber laser setups to experimentally investigate nonlinear phenomena such as soliton dynamics, modulation instability, and supercontinuum generation.

• Integrate experimental data with AI models, using machine learning to uncover hidden physics, accelerate simulations, and discover new operational regimes.

• Collaborate with interdisciplinary teams of physicists, engineers, and data scientists within the university and with external partners.

• Analyze, interpret, and present research findings in high-impact scientific journals and at international conferences.

Job Requirements:

• Ph.D. in Electrical Engineering, Physics, Optical Engineering or other related fields.

• Solid Mathematical skills.

• Hands-on experience in designing and building fiber laser cavities for the generation of ultrashort pulses.

• Strong background in nonlinear optics.

• Demonstrated experience in developing and applying AI Learning models, for scientific research.

• A strong publication record is highly desirable.

• The ability to conduct independent research is highly desirable.

• Good written and oral communication skills.

We regret to inform you that only shortlisted candidates will be notified.