Research Fellow (Computer Science/Engineering)

Nanyang Technological University; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

NTU Singapore’s College of Computing and Data Science invites applications for a Research Fellow to advance research in Generative AI, statistical machine learning, large language models, and related optimization methods.

Ideal candidates hold a PhD in CS/Engineering or related fields, demonstrate strong analytical abilities, and have a record of independent, collaborative research and leadership.

Qualifications

• PhD in Computer Science, Engineering or related disciplines preferred.
• 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.

Responsibilities

• Collect relevant datasets and conduct experiments to gain insights on project-related research questions.
• Present research results to collaborators at scientific meetings or in reports/publications.

Skills

Independent

Analytical

Team player

Leadership

Communication

Education

PhD in CS/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.

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.

Hiring Institution: NTU

A research-intensive public university, Nanyang Technological University, Singapore (NTU Singapore) has 33,000 undergraduate and postgraduate students in the Engineering, Business, Science, Humanities, Arts, & Social Sciences, and Graduate colleges. It also has a medical school, the Lee Kong Chian School of Medicine, established jointly with Imperial College London. NTU is also home to world-class autonomous institutes - the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering - and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU (ERI@N). Ranked amongst the world's top universities by QS, NTU has also been named the world's top young university for the past seven years. The University's main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore's healthcare district. Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources.

For more information, visit www.ntu.edu.sg

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