Research Fellow (AI Vision Systems)

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28AI-Vision-Systems%29/32591-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 AI and software stack integration from architecture to vision task
1. Dataset, pre-trained model gathering, software sandbox and exploration
2. Software intermediate representation of chip and automatic generation of energy-aware AI compiler
3. AI stack, end-to-end training/inference framework, model development and training/fine-tuning
4. Model selection, training and validation cycles
5. Visual task validation and model 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.