Research Fellow in AI and Machine Learning: Optimisation and Generalisation of Deep Models, NTU Singapore
Job Description
NTU Singapore’s College of Computing and Data Science is recruiting a Research Fellow in artificial intelligence and machine learning to work on deep learning theory, large-scale model optimisation and generalisation (requisition R00025766).
At a glance
- Position: Research Fellow (one post)
- Where: NTU Main Campus, Singapore
- Pay: not stated in the posting
- Duration: not stated in the posting
- Apply by: open until filled; posted 15 September 2026
The post sits in NTU’s College of Computing and Data Science and covers independent research in deep learning, large-scale model optimisation and generalisation, including scalable optimisation methods.
Why this role matters
Understanding why large models converge and generalise is what turns training practice into method, and this kind of theory work is increasingly what distinguishes research groups now that scale alone is widely available.
About the AI and machine learning research fellow post at NTU
- Conduct independent research in deep learning, large-scale model optimisation and generalisation
- Explore scalable optimisation methods, as the advertisement describes
- Publish in leading machine learning venues
The advertisement summarises responsibilities rather than listing day-to-day duties.
Eligibility
- A PhD in computer science, artificial intelligence, machine learning or a relevant field
- Strong theoretical research capability, particularly in analysing optimisation, convergence, stability or generalisation of deep models
- A strong background in machine learning optimisation, with distributed or multi-node training experience; large-scale training experience is highly desirable
- A strong publication record at venues such as ICML, ICLR, NeurIPS or IEEE TPAMI
- The ability to formulate fundamental research problems and develop new optimisation methods
NTU states that only shortlisted candidates will be notified.
Pay and duration
- The posting does not state a salary
- The advertisement does not state the contract length
How to apply
Apply through NTU’s careers portal on the official posting (requisition R00025766), with a CV, publication list and a short research statement. No closing date is given, so apply early.
Key dates
- Posted on NTU’s careers portal on 15 September 2026
- No closing date stated; the post is open until filled
Please read the official NTU posting (requisition R00025766) before applying, and browse more artificial intelligence jobs on ResearchJobs.in.
Hiring institution: Nanyang Technological University (NTU Singapore)
Official advertisement: ntu.wd3.myworkdayjobs.com
How to prepare for this application
- Theory depth: be ready to sketch a convergence or generalisation proof from your own work at the board.
- Scale: prepare details of the largest training run you have done, including parallelism strategy and failure modes.
- Venue record: the advertisement names ICML, ICLR, NeurIPS and TPAMI, so lead with those papers.
- Problem formulation: bring one open problem you would pursue in the first year and why it matters.
- Collaboration: CCDS is large, so show how you have worked across groups or with industry.
About NTU Singapore
Nanyang Technological University (NTU Singapore) is a research-intensive university in Singapore with strengths across engineering, science, computing and medicine. Its Centre for Quantum Technologies node, School of Physical and Mathematical Sciences and College of Computing and Data Science host quantum information, photonics and machine-learning groups, and research fellowships there are common steps between a PhD and a faculty or industry research post.
