The School of Computer Science and Engineering (SCSE) invites applications for the position of Research Fellow. The Research Fellow will be responsible for performing intelligent visual signal processing/compression/computing and 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, \xe2\x80\xa6)
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.
Hiring Institution: NTU
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