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.
Key Responsibilities:
Responsible for designing and running research projects on reliable foundation models (LLMs/VLMs), including robustness, uncertainty estimation/calibration, hallucination mitigation/detection, and safe deployment.
Formulate / devise novel training, post-training, and inference-time methods (e.g., representation learning objectives, filtering/verification strategies, scalable evaluation protocols) that improve reliability under distribution shift and noisy feedback.
Improve model evaluation and benchmarking: build reproducible pipelines, curate datasets, implement metrics, and perform rigorous ablations and error analyses (including failure-mode taxonomies).
Implement and maintain high-quality research codebases (PyTorch/HF), experiment tracking, and compute workflows (multi-GPU, HPC/cluster), ensuring reproducibility and documentation.
Accountable for delivering research milestones: weekly progress updates, clear experiment logs, and tangible outputs (preprints/submissions, open-source artifacts, technical reports, datasets).
Collaborate closely with the PI, students, and external partners; contribute to project planning, cross-team communication, and co-authoring papers.
Support mentoring and lab operations as needed: guide junior students on implementation/experimentation, maintain best practices for coding, safety evaluation, and data handling.
Expectations: high research ownership, strong experimental rigor, proactive problem-solving, clear technical writing, and consistent throughput from idea → prototype → validated results → publication-quality artifacts
Job Requirements:
Preferably Master in Computer Engineering, Computer Science, 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.
We regret that only shortlisted candidates will be notified.
Hiring Institution: NTU