Nanyang Technological University Hiring! Full Time Research Associate (Computer Science-Cybersecurity-Software Engineering-Mathematics-Statistics) in - Ricebowl

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.

Key Responsibilities:

• Conduct independent and collaborative research on differential privacy and privacy-preserving algorithms.

• Design, implement, and evaluate differential privacy mechanisms and analytical frameworks. Perform theoretical analysis of privacy guarantees, utility bounds, and algorithmic performance.

• Prepare and publish research papers in leading academic conferences and journals. Present research findings in seminars, workshops, and conferences.

• Collaborate with faculty members, researchers, and students on ongoing research projects.

• Contribute to research proposals, technical reports, and project documentation.

Job Requirements:

• Master degree in Computer Science, Cybersecurity, Software Engineering, Mathematics, Statistics, or a related discipline.

• Research experience in differential privacy, privacy-preserving machine learning, or formal privacy models.

• Strong background in theoretical analysis and algorithm design.

• Proficiency in programming languages such as Python, C/C++, or Java for implementing and evaluating privacy algorithms.

• Familiarity with machine learning, statistical analysis, and experimental evaluation methodologies.

• Strong academic writing and publication track record, with contributions to international privacy, security, or data science conferences (e.g., CCS, S&P, PETS, etc).

We regret that only shortlisted candidates will be notified.