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Jobs in Singapore   »   Jobs in Singapore   »   Education / Training Job   »   Research Fellow (Computer Engineering/Computer Science/Electronics Engineering)
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Research Fellow (Computer Engineering/Computer Science/Electronics Engineering)

Nanyang Technological University

Nanyang Technological University company logo

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.

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

Key Responsibilities:

  • To independently undertake research in data privacy, machine learning, and applied cryptography.
  • To produce research papers and reports as required by the funding body or for dissemination to the wider academic community.
  • To provide guidance and support to students associated with the project.
  • To attend, contribute, and where necessary lead relevant meetings.
  • To undertake any other duties relevant to the programme of research.

Job Requirements:

  • PhD’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent.
  • Independent, highly analytical, proactive and a team player
  • Excellent teamwork and verbal, written communication skills
  • Proven research ability as evidenced through a portfolio of publications and/or conference papers and/or patents.
  • In-depth knowledge relevant to the project domain.
  • Demonstrated capability to conduct innovative research.
  • The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.
  • Demonstrated ability to formulate hypothesis and design effective experimental plans.
  • Ability to design and implement new experimental methods.
  • Oversee and report project progress.

We regret that only shortlisted candidates will be notified.

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