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 lace 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 Associate.
Key Responsibilities:
- Conduct research on differential privacy algorithms with applications in computational processes.
- Develop innovative ideas to enhance existing algorithms and frameworks.
- Collaborate on applying privacy-preserving algorithms to machine learning models.
- Analyse and interpret findings, ensuring scientific rigour and practical relevance.
- Prepare and submit manuscripts to leading conferences and journals such as S&P, USENIX, SIGMOD, VLDB, TODS, NeurIPS, ICML, AAAI, or ICLR.
Job Requirements:
- Preferably, a Master's degree in Computer Engineering, Computer Science, Electronics Engineering, or an equivalent field from a top-tier university, with an outstanding academic record (First-Class Degree or ranking top in the class).
- Familiarity with differential privacy is required, along with a strong foundation in mathematical training and proficient algorithm implementation programming skills.
- 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.
- 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.
We regret that only shortlisted candidates will be notified.
