Nanyang Technological University
Research Associate (Computer Science/Electronics Engineering)
19 days ago
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Important information
Contract type:
Permanent
Location:
Singapore
Work mode:
Onsite
Published on:
30 September 2026
What they need
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.
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.
Job Responsibilities:
- Lead and enrich research activities in the group including developing novel research projects, prototypes, and artifacts, strengthening the quality of research outputs, and presenting work to the research community and other stakeholders.
- Formulate and manage research/ industry/ external funding applications and projects.
- Spearhead collaborations with research community, experts and industry.
- Mentor graduate and undergraduate students towards becoming independent and innovative researchers.
Job Requirements:
- Preferably Master in Computer Science, Electronics Engineering or equivalent.
- Independent, highly analytical, proactive and a team player
- Excellent teamwork and verbal, written communication skills
- 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.
- High-level expertise in the required experiment or modelling methods.
- Ability to initiate collaboration research in multidisciplinary team.
- Oversee and report project progress.
- Ability and willingness to work some flexible hours.
We regret that only shortlisted candidates will be notified.
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