Job Description
Job Title:  Research Fellow (Photonic High-Performance AI Computing Systems)
Posting Start Date:  10/06/2025
Job Description: 

Job Description

We are seeking a highly motivated and skilled Research Fellow to join our team on a project to demonstrate photonic high-performance AI computing systems. The successful candidate will be part of an interdisciplinary research team working on the design, fabrication, and integration of photonic computing architectures targeted at next-generation AI workloads. The research aims to exploit the unique advantages of integrated photonics — such as ultra-high bandwidth, low latency, and energy efficiency — to overcome current limitations in electronic-based AI accelerators.

Key Responsibilities:
•    Conduct cutting-edge research in photonic AI computing architectures, including photonic neural networks and hybrid electronic-photonic systems.
•    Design, model, and simulate photonic components and circuits tailored for AI acceleration.
•    Collaborate on the fabrication and experimental characterization of integrated photonic devices and systems.
•    Develop algorithms and system-level integration strategies to harness the capabilities of photonic processors for machine learning and deep learning tasks.
•    Publish research findings in high-impact journals and present at international conferences.
•    Mentor graduate and undergraduate students involved in the project.

Qualifications

•    PhD in Electrical Engineering, Materials Science, Applied Physics, or a related field.
•    Experience in photonic device modeling and simulation (e.g., Lumerical, COMSOL, FDTD, VPIphotonics).
•    Prior hands-on experience with cleanroom fabrication and optical/electrical characterization is an advantage.
•    Strong analytical and problem-solving skills.
•    Ability to work independently and in a collaborative team environment.
•    Excellent publication record in reputable peer-reviewed journals.
•    Open to fixed-term contract 

More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Electrical and Computer Engineering

Employee Referral Eligible: No

Job requisition ID : 29234