Research Scientist (Computer Science, Electronic Engineering, Applied Mathematics, Perceptio...

A Corp Lab in NTU is looking for a Research Scientist to conduct research in learning-based model compression and green computing.
Key Responsibilities:

• To perform the pioneer research in exploring learning-based model compression and green computing.
• To perform systematic investigation into the characteristics of big models, to meet the emerging requirements for AI.
• To devise a new scheme for just noticeable differences for model compression.
• 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/patents/papers and present in international peer-reviewed conferences and journals.
• To be involved in the mentoring of PhD/Master/FYP students.
• Responsible for performing intelligent lightweight/green computing.
• Submission of a comprehensive reports/IDs/Demos/papers summarizing/justifying the pioneer and innovative research performed

Job Requirements:

• Possess a PhD degree in computer science, electronic engineering, applied mathematics, perception sciences, etc.
• Background knowledge in signal/data compression, and data-driven and machine learning/analysis.
• 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.
• Prior experience in state-of-the-art AI techniques.
• Mastering of a programming language would be valued (e.G. Python, C, Matlab, etc)
• 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