School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduates students and 2,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2025 QS World University Rankings by Subjects.
Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.
For more details, please view: https://www.ntu.edu.sg/eee
The Research Assistant (RA) will work with our team to conduct the research on development of AI models and algorithms for image processing, computational imaging as well as computer vision applications. The roles of this position include: Research on the cutting-edge AI algorithms for processing and modeling high-dimensional data (e.g., tensor or multi-modality data).
Key Responsibilities:
Research on the cutting-edge AI algorithms for processing and modeling high-dimensional data (e.g., tensor or multi-modality data).
Work with other researchers and PhDs to develop AI applications related to image processing, computational imaging as well as computer vision.
Discussion and study recent papers and baseline codes in this field. Report to advisor and the team weekly.
Prepare and publish research papers on top-tier conferences and journals.
Help prepare the proposal and progress report.
Job Requirements:
The successful applications are expected to possess Bachelor Degree in Computer Science or Electrical Engineering from reputed universities, with at least 2 years research experience in related fields.
Research and Comprehensive Skills:
Independent and self-motivated researcher
Good paper reading and writing skills
Excellent publication record, including top-tier journals and conference papers in the related fields.
Strong in Mathematics
Coding Skills:
Familiar with any of the major deep learning libraries, including Pytorch
We regret to inform that only shortlisted candidates will be notified.
Hiring Institution: NTU
