Job Description

We are seeking a highly motivated and skilled Research Fellow to join our team on a project to demonstrate high-performance AI computing systems. The successful candidate will be part of an interdisciplinary research team working on the design, fabrication, and integration of neuromorphic computing architectures targeted at next-generation AI workloads. 

Key Responsibilities:
•    Conduct cutting-edge research in AI computing architectures, including neural networks hardware accelerator systems.
•    Design, model, and simulate memristor cells and circuits tailored for AI acceleration.
•    Collaborate on the fabrication and experimental characterization of integrated memristor devices and systems.
•    Develop algorithms and system-level integration strategies to harness the capabilities of AI accelerator 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 device modeling and simulation.
•    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.

More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Electrical and Computer Engineering

Employee Referral Eligible: No

Job requisition ID : 31506