Research Fellow (Computer Engineering/Computer Science/Electronics Engineering)

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. Today, we are ranked #2 for AI and Computer Science by US News Best Global Universities; and #8 for Data Science and AI by QS World University Ranking.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow'. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

We are seeking for a Research Fellow for a term of one year to conduct high quality research. The successful candidate will play a pivotal role in a project centered around Generative AI, with a focus on vision language models.

Job Responsibilities:

• To conduct independent research in deep learning and AI safety.

• To produce publications in top conferences and journals.

• To offer guidance and assistance to any students involved in the project.

• To collaborate with industrial and academic partners.

• To perform any other duties related to the research program.

Job Requirements:

• Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent.

• Strong background in deep learning and multi-modal learning.

• Strong publication record in top conferences/journals, such as CVPR, NeurIPS, AAAI, IJCAI, T-PAMI, IJCV, and etc.

• Excellent teamwork and verbal, written communication skills

• Experience in generative AI is preferred.

• Knowledge of programming skill with deep learning architectures, such as PyTorch, TensorFlow, etc.

• Capable of handling multiple tasks across projects and research activities.

• Showing excellent communication skills, and willingness to learn.

• Able to work under limited supervision and excel as an effective team member.

We regret that only shortlisted candidates will be notified.