Recruiting

I am actively looking for self-motivated students with general interest in data science and machine learning within UQ. Please visit Project Database for my available projects.

These projects are primarily intended for students who are committed to pursuing a PhD after their coursework studies (not necessarily within my group). Gaining pre-PhD research experience at a PhD-level standard for six months or even longer provides a significantly higher chance of securing a PhD position afterwards.

For UQ’s master/undergraduate students

UQ master/bachelor programs have (Type 1) thesis project, capstone projects and honours project (with 6 or 8 units for one year) and (Type 2) summer/winter/internship project (no unit). These projects can be towards research paper/cross-disciplinary project. If you want to have research outcome such as a paper, please consider doing both a Type 2 project and then a Type 1 project with me.

Students are expected to have either (1) a high GPA in math, algorithm, ML/DL/DM courses at UQ; or (2) finish videos, lecure notes, assignments, codings, and extended reading of any/multiple in the following: CS229 (ML)， CS231n (DL&CV), CS224n (NLP), CS224w (GNN), or CS336 (LLM) from Stanford, or RL course from DeepMind&UCL, or CS285 (Deep RL) from Berkeley.

Welcome to email me by “r.my-last-name-lower-case@uq.edu.au”:

1. Please finish any of these courses first (preferrably, CS224n and CS336).
2. Please write in email topic: “UQ CS Thesis/Project Application by Your Name”.
3. Please attach your CV and transcripts, and a representative writing sample (paper/preprint) if any.
4. Please customise your email according to research interests.