Research Fellow (Computer Science/Statistics/Electronics Engineering)

Nanyang Technological University Singapore; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

Nanyang Technological University Singapore (NTU) is seeking a Research Fellow to lead research in probabilistic machine learning and GenAI. The successful candidate will conduct cutting-edge research, contribute to academic publications, and collaborate with faculty and students on AI projects.

Qualified candidates should have a PhD in a relevant field and exceptional analytical skills. This role offers exposure to groundbreaking research opportunities in a dynamic academic environment.

Qualifications

• PhD degree in relevant field required.
• Demonstrated ability to conduct innovative research.
• In-depth knowledge relevant to the project domain.

Responsibilities

• Conduct research in AI/ML domains, especially in probabilistic ML.
• Produce academic publications and patent applications.
• Collaborate on AI projects and supervise graduate students.

Skills

Probabilistic Machine Learning

Research Publication

Team Collaboration

Verbal and Written Communication

Education

PhD in Computer Science, Statistics, Electronics Engineering or equivalent

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.

Dr Yingzhen Li (https://yingzhenli.net) and her research group at NTU are looking for a Research Fellow (RF) to carry out research in probabilistic machine learning and GenAI, by exploring cutting‑edge approaches such as sequence model design, continual learning, recurrent memory, Bayesian modelling, uncertainty quantification and machine learning systems.

Emphasis will be on methods that design and implement new architectures for (auto‑regressive) sequence modelling to enable adaptive memory updates, uncertainty quantification and sequential decision making. The role also involves exploration for emerging research directions, synthesizing technical ideas, and engaging with GenAI industry and open‑source communities.

Key Responsibilities

• Conduct the research in AI/ML domains, especially in probabilistic ML and scalable sequence network architectures
• Produce academic publications such as research papers and patent applications
• Contributing to annual report writing and presenting
• Collaborate with faculty, research staff, and students on joint robotics and AI projects and support the supervision of graduate students.
• Engage with industry or academic partners when required to explore collaborative opportunities and contribute to project deliverables.

Job Requirements

• PhD degree in Computer Science, Statistics, Electronics Engineering or equivalent.
• 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.
• 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.
• High-level expertise in the required experiment or modelling methods.
• Ability to initiate collaboration research in multidisciplinary team.
• Oversee and report project progress.
• Ability and willingness to work some flexible hours.