Artificial Intelligence & Risk Laboratory

Join us

We receive a high volume of admissions enquiries and cannot respond to every message. To help us evaluate your fit with the group, please follow the guidance below when contacting Prof. Jize Zhang for a preliminary discussion.

Doctoral Admissions

Do you have any scholarships?

Qualified candidates may be supported through a regular Postgraduate Studentship (PGS) (HK$225,120, or approximately US$28,790 per year).

A variety of scholarships are available, at the following links:

What are your current research priority areas?

A non-exhaustive list of topics that we are currently interested in is as follows:

  1. Uncertainty quantification for AI;
  2. Natural-hazard risk assessment and forecasting, including storm surges, tropical cyclones, and precipitation;
  3. The low-altitude economy, including micrometeorological and UAV modeling;
  4. Computer-vision-based defect detection.

Our list of recent papers might provide you with further ideas regarding potential research topics that are currently of interest to our group.

When should I submit my application?

We strongly encourage potential applicants to submit their applications as early as possible.

If you wish to be considered for HKPFS or RedBird, November 1 is a suitable early deadline that allows us time to prepare a nomination package.

How should I make the initial contact?

Please include the following information in your initial message:

Postdoctoral Opportunities

I am actively looking for strong postdoc candidates. If you would like to propose a collaboration opportunity, please get in touch.

UROP, MSc, and Internships

We welcome applications for UROP projects, MSc research, and summer internships from HKUST students currently pursuing degrees in engineering, mathematics, or computer science. Unfortunately, we cannot accept external candidates at this time.

For further information, please refer to the homepage of our UROP Program, and register your interest with Prof. Jize Zhang by the beginning of each term.