Research Fellow (AI Vision Systems)

Interested applicants are invited to apply directly at the NUS CareerPortal. Please note your application will only be processed if you apply viaNUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28AI-Vision-Systems%29/32589-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Fellow for the CogniVision AI cameras project led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to:

. contribute to hardware sub-system exploration, modeling, chip-module-camera integration, design lead for:
1. Hardware sub-system exploration and FPGA digital twin
2. Chip integration of sub-systems from image sensing to AI accelerator and silicon system tapeout
3. Camera module integration with silicon chip, optics and PCB
4. Camera integration and digital interfaces
5. Final camera integration and experiment-driven fine-tuning

. Authoring high-quality research papers for leading conferences and journals and presenting findings at international conferences.

. Managing technical milestones for the project and providing technical guidance to PhD and master's students within the group.

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
. a PhD degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
. Knowledge on circuit architectures, transistor-level design.
. Knowledge on silicon chip design, EDA tools.
. Ability to work independently and collaboratively in a team environment.
. Good communication and interpersonal skills.
. open to fixed term contract.