Research Fellow (AI Vision Systems)

National University of Singapore; Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

National University of Singapore (NUS) invites applications for a Research Fellow in the CogniVision AI cameras project within the Department of Electrical and Computer Engineering. The role focuses on AI stack integration from architecture to vision tasks and requires authoring research papers for top conferences and journals.

The successful candidate will manage project milestones, guide PhD and master's students, and collaborate across the team.

Qualifications

• PhD required in Electrical Engineering or related field.
• Knowledge of circuit architectures and transistor-level design.
• Familiarity with silicon chip design and EDA tools.
• Ability to work both independently and in a team.
• Strong communication and interpersonal skills.
• Open to fixed term contract.

Responsibilities

• Contribute to AI and software stack integration from architecture to vision task.
• Author high-quality research papers and present findings at international conferences.
• Manage technical milestones and provide guidance to PhD and Master students.
• Collaborate with the CogniVision AI cameras project team under the ECE department.

Skills

Independent work

Team collaboration

Technical communication

Education

PhD in Electrical Engineering or related

Tools

EDA tools

Silicon chip design

Job description

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.