Research Fellow (Artificial Intelligence/Computer Science/Engineering)

Nanyang Technological University, Singapore (NTU Singapore); Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

NTU Singapore, a leading research university, invites applications for a Research Fellow in Generative AI and related areas. The role supports CCDS with cutting-edge research on large language models, stochastic optimization, and design in material and engineering.

Ideal candidates hold a PhD in AI/CS/engineering, show independent research capability, leadership, and strong collaboration skills. Shortlisted candidates will be notified.

Qualifications

• PhD in AI/CS/engineering or related field
• Independent, analytical, proactive and a team player
• Excellent teamwork and communication skills

Responsibilities

• Collect relevant datasets and prepare experiments
• Conduct experiments to address research questions and hypotheses
• Present results at meetings or through reports and publications

Skills

Analytical thinking

Teamwork

Leadership

Communication

Education

PhD in Artificial Intelligence / Computer Science / Engineering

Job description

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.

We are seeking to hire a Research Fellow to support research and development in Generative AI, Statistical machine learning, Large Language Models, Stochastic optimization, Transfer & Evolutionary optimization, Bayesian optimization for complex design in material and engineering.

Job Responsibilities:

• Collect relevant datasets
• Conduct experiments to gain insights on project-related research questions
• Presenting research results to collaborators at scientific meetings or producing reports/ publications

Job Requirements:

• Preferably PhD in Artificial Intelligence/ Computer Science / Engineering or related disciplines.
• Independent, highly analytical, proactive and a team player
• Excellent teamwork and verbal, written communication skills
• In-depth knowledge relevant to the project domain.
• Demonstrated capability to conduct innovative research.
• Demonstrated strong leadership quality

We regret that only shortlisted candidates will be notified.

Hiring Institution: NTU