The School of Computer Science and Engineering (SCSE) invites applications for the position of Research Fellow.
Key Responsibilities:
Responsible for performing intelligent scent and multimedia processing
Submission of a comprehensive reports/IDs/Demos/papers summarizing/justifying the pioneer and innovative research
To perform the pioneer research in scent digitalization and computation.
To further develop machine learning tasks for scent signal classification/fusion.
Set up and analyze experiments 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 a report and present in international peer-reviewed conferences and journals.
To be involved in the mentoring of PhD/Masters/FYP students.
Job Requirements:
PhD degree in Computer Science (And Engineering), Electronic Engineering, Applied Mathematics, Perception Sciences, etc.
Have good technical reading, writing and programming skills.
Have good track record for related R&D.
High desire for technological exploration and achievement.
Background knowledge in signal representation/processing, esp for scent signals.
Prior research experience and track record in signal detection, machine learning and deep learning.
Prior programming experience in state-of-the-art AI techniques.
Mastering of a programming language would be valued (e.g. Python, 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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