Research Associate
3 days ago
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.
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.
About the RoleWe are looking for a highly motivated candidate to join our team as a Research Associate.
The Research Associate will work on a funded interdisciplinary grant at the intersection of graph data management, cognitive psychology, and data visualization to support the University's research in data science.
The project seeks to develop a novel data-driven framework for user-friendly visualization of property graph schemas that is informed by theories from cognitive psychology. The successful candidate will be responsible for developing it.
Key Responsibilities:- Plan and develop effective abstraction and algorithms for visualisation of property graph schema.
- Assist in development of user-friendly and interactive interface for visualisation of property graphs.
- Liaise with various stakeholders.
- Contribute to the production of research reports.
- Contribute to the dissemination of research findings.
- Perform other tasks as required by the Principal Investigators.
- Preferably Master in computer engineering, Computer Science, Electronics Engineering or equivalent.
- Strong analytical and programming skills.
- Strong background in algorithms and data management.
- Experience using programming language such as JavaScript, TypeScript and Python
- Excellent organizational skills and able to work within given deadlines.
- Self-directed learner who effectively picks up relevant skills as needed.
- 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.
- Ability to initiate collaboration research in multidisciplinary team.
- Oversee and report project progress.
- Ability and willingness to work some flexible hours.
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