Research Fellow (Computer Engineering/Computer Science/Electronics Engineering)
11/29/2025
The Research Fellow will conduct research, mentor students, and publish papers. Responsibilities also include brainstorming research ideas, formulating problems, developing methods, and conducting experiments in robotic systems.
Working Hours
40 hours/week
Company Size
501-1,000 employees
Language
English
Visa Sponsorship
No
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 #5 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 and Data Science (CCDS) invites applications for the position of Research Fellow.
Key Responsibilities:
Responsible for conducting research, mentoring graduate and undergraduate students, and reviewing and publishing papers.
Brainstorming research ideas, formulating problems, developing methods, and conducting experiments in both simulation and real-world robotic systems.
Job Requirements:
Preferably PhD 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
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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