Research Fellow (Artificial Intelligence)

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.

To support the research for the project titled: LLM Based Smart Assistant System.

The project aims to research and develop technologies in the following technically challenging areas to deliver an LLM-based smart assistant system for automative equipment maintenance. The base application should handle multi-query strategy and fusion of Information sources (original equipment manual, internet forums, databases, knowledge graphs). The Search module must enable direct searches and fusion of information across various data sources and knowledge graphs, using LLM-generated for merge / prioritise information from different streams.

Key Responsibilities:

• Lead the research on an LLM-based smart assistant system for automotive equipment maintenance,

• Lead a team of researchers to propose novel ideas and develop innovative solutions to challenging technical problems.

• Conduct literature reviews on AI and machine learning for decision-making and recommendation.

• Design new AI solutions and search modules that enable direct search and information fusion across various data sources.

• Evaluate and compare the proposed systems against existing models to measure their effectiveness in merging and prioritizing information.

• Write research papers to report findings and results.

Job Requirements:

• Preferably PhD in computer science or related field.
• Expertise in computer programming
• Knowledge in machine learning and data science
• Proven research ability as evidenced through a portfolio of publications and/or conference papers and/or patents.
• Excellent teamwork and verbal, written communication skills
• Independent, highly analytical, proactive and a team player
• 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.
• Demonstrated ability to formulate hypothesis and design effective experimental plans.
• Ability to design and implement new experimental methods.
• Ability to initiate collaboration research in multidisciplinary team.
• Oversee and report project progress.
• Ability and willingness to work some flexible hours.

We regret to inform that only shortlisted candidates will be notified.

Hiring Institution: NTU