Research Associate (Computer Engineering/Computer Science/Electronics Engineering) Full-time

Research Position At Nanyang Technological University

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.

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.

Key Responsibilities

Investigate how quality perception emerges from the interaction of visual, audio, and semantic signals across diverse content types (UGC, short-form video, etc.).

Develop an attention modulation mechanism that models how multi-modal content (captions, audio) modulates visual attention and perceptual quality judgment.

Benchmark the framework across modality combinations, content categories, and curate datasets for training and evaluation.

Publish findings at conferences and journals in computer vision, multimedia, and signal processing.

Job Requirements

Preferably Master's degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent.

Strong background in deep learning and multimodal modeling; proficient in Python.

Familiarity with vision-language models or quality assessment literature preferred.

Good academic writing skills and genuine interest in human-centric AI research.

Self-driven, collaborative, and able to produce high-quality research outputs independently.

Independent, highly analytical, proactive and a team player

Excellent teamwork and verbal, written communication skills

In-depth knowledge relevant to the project domain.

Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.

Hiring Institution: NTU