Research Fellow (Computer Science/Electrical & Electronic 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.

This lab is focusing on research and development of exploring visual signal representation towards machine uses. We aim to create impactful applications spanning various strategic areas in partnership with academic, industry, and government organizations.

The College of Computing & Data Science (CCDS) invites applications for the position of Research Fellow.
 

Key Responsibilities:

• To perform pioneer research in exploring visual signal representation towards machine uses.

• To perform systematic investigation into the characteristics of visual signal representation for machine uses, to meet the emerging requirements for AI.

• To devise a new scheme for visual signal representation with deep-learnt visual features, toward machine uses.

• To investigate feature-level just-noticeable difference modelling for machines to facilitate assessment and optimization.

• To formulate a comprehensive visual feature codec for machine uses.

• To set up and analyze experiments and datasets under different conditions.

• To propose a methodology/framework in a software prototype to be developed in the project.

• To report research findings in a form of reports/papers and present in international peer-reviewed conferences and journals.

• To be involved in the mentoring of PhD/Masters/FYP students.

Job Requirements:

• Preferably PhD in computer science, electrical & electronic engineering, or equivalent.

• Background knowledge in signal representation/processing, visual data compression, and data-driven and machine learning/analysis.

• Prior research experience and track record in R&D and standardization.

• Prior experience in state-of-the-art AI techniques.

• Mastering of a programming language would be valued (e.g. Python, C, Matlab, …)

• Self-driven, highly motivated, with interest to work with other researchers and scientists (as a team player) to produce high-quality research.

• Excellent teamwork and verbal, written communication skills

We regret that only shortlisted candidates will be notified.