Research Associate
3 days ago
Ranked among the world's top universities, Nanyang Technological University, Singapore (NTU Singapore) is young and research-intensive. Its College of Computing and Data Science (CCDS) is a leading college known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty.
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.
About the RoleWe 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 Associate.
- 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.
- Fulfill the role of Research Associate and engage in the conception and execution of research projects.
- Mentor students participating in the project.
- Communicate research findings through publications and presentations.
- Collaborate with colleagues on research initiatives.
- Participate in regular team meetings and contribute to discussions.
- A Master's degree in Computer Engineering, Computer Science, Electronics Engineering, or an equivalent field.
- Excellent analytical, problem-solving, and communication skills.
- Demonstrated ability to conduct independent research and work collaboratively within a team.
- Strong knowledge of data privacy, machine learning, and applied cryptography.
- Experience with experimental design and implementation.
- Ability to formulate hypotheses and design effective experimental plans.
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