Research Fellow (Computer Science/Engineering)

NANYANG TECHNOLOGICAL UNIVERSITY; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading university in Singapore is seeking a Research Fellow to support research in Generative AI and machine learning. The position involves conducting experiments, collecting datasets, and presenting findings. Candidates should have a PhD in Computer Science or Engineering. Strong analytical, teamwork, and leadership skills are essential. Join a dynamic environment focused on cutting-edge technology and groundbreaking research.

Qualifications

• Demonstrated capability to conduct innovative research.
• In-depth knowledge relevant to the project domain.
• Independent and proactive.

Responsibilities

• Collect relevant datasets and conduct experiments.
• Present research results to collaborators.

Skills

Analytical skills

Teamwork

Communication skills

Leader qualities

Education

PhD in Computer Science / Engineering or related disciplines

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. Today, we are ranked #2 for AI and Computer Science by US News Best Global Universities; and #5 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.

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.

Key Responsibilities:

• Collect relevant datasets, and 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 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.