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 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 & Data Science (CCDS) invites applications for the position of Research Associate.

Key Responsibilities:

• Develop and refine LLM-powered agents capable of understanding user intent, adapting to context, and executing repetitive tasks without requiring traditional programming knowledge.
• Conduct experiments with real end users to evaluate usability, reliability, and effectiveness of dialogue-driven programming systems.
• Analyze user interactions and feedback to identify challenges, improve alignment, and enhance collaboration between humans and AI systems.
• Contribute to publications at top-tier venues and share findings with the broader research community.
• Collaborate with interdisciplinary teams
• Support teaching and mentoring activities as needed.

Job Requirements:

• Master's degree in Computer Science or related field.
• Experience building LLM based programming systems
• Experience in building interactive / fullstack online systems
• Good programming skills and experience with machine learning framework
• Publication record is a plus
• Ability to work independently and in a team.

We regret that only shortlisted candidates will be notified.