Epistemic Intelligence & Computation (EPIC) Lab

🚨We are hiring!🚨

Are you passionate about bringing epistemic intelligence to machine learning systems? The EPIC Lab at Nanyang Technological University (NTU), Singapore, is recruiting PhD students to start in Summer 2025!

About Us

The EPIC Lab aims to advance the theory and practice of Epistemic Machine Learning---developing intelligent systems that can recognise the limitation of their knowledge, be able to communicate their insights, and effectively collaborate with human users. To reach this goal, our research is structured around three major directions,

  1. Uncertainty-aware Machine Learning,
  2. Explainable Machine Learning, and
  3. Preference modelling.

Our Research Interests

Our group explores a wide range of topics under the umbrella of epistemic machine learning, including but not limited to:

  • Imprecise-probabilistic methods: second-order uncertainty, credal sets, imprecise learning
  • Precise-probabilistic methods: kernel methods, Gaussian processes, hypothesis testing
  • Applications:
    • Human-in-the-loop/Human-AI collaboration
    • Learning from choice and preference feedback
    • Sequential experimental design: active learning and Bayesian optimisation
    • Cooperative game theory
    • Causal inference

These areas form the foundation of our work, addressing complex and fundamental challenges in machine learning and AI.

How to apply?

If our mission resonates with you and you’re excited about pursuing research with us, we encourage you to reach out before submitting a formal application to NTU. You can reach out to me at a.siulun.chau[at]gmail.com with the subject title: New application for your group. In your email, we would like to see that you have spent a minimum amount of time to find out whether our research aligns well with your interests and have a thought whether I might be a good fit as your supervisor.

Note that you are not required to have a clear and thought-out research plan before getting in touch (although it is encouraged). In the email, please also attach (if applicable) your

  1. transcripts,
  2. latest CV, and
  3. some written work demonstrating your research experience (e.g. a thesis, preprint, published papers)

We look forward to receiving your application.

Funding opportunities

Besides the Research Student Scholarship offered by NTU, there are also other funding opportunities available for prospective students.

Recruitment letter