The College of Computing & Data Science (CCDS) invites applications for the position of Research Fellow. The Research Fellow responsible for performing intelligent visual signal processing/compression/computing.
Submission of a comprehensive reports/IDs/Demos/papers summarizing/justifying the pioneer and innovative research performed
Key Responsibilities:
- To perform the 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:
- Possess a PhD degree in Computer Science (And Engineering), Electronic Engineering, Applied Mathematics, Perception Sciences, etc.
- Have good technical reading, writing and programming skills.
- Have good experience and track record for related R&D.
- High desire for technological exploration and achievement.
- 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.
We regret that only shortlisted candidates will be notified.
