A fully-funded Ph.D. position is available at the School of Computer Science, University of Auckland. The University of Auckland is the highest-ranked University in New Zealand (QS top 100).

We are looking for a highly-motivated and hard-working student with a solid background in machine learning, data mining and deep learning to work on a three-year research project in spatio-temporal data mining and graph representation learning. In particular, we aim to develop new graph representation learning approach for modeling the spatio-temporal information on graph data. Our research will enable various applications in urban computing including traffic modeling, location recommendation, trajectory mining.

Eligibility

Equivalent of a New Zealand 1st class Honours degree or a MSc degree (both with a significant research component) in Computer Science or related field. The candidate should have solid programming skills and be familiar with machine learning and deep learning techniques. Overseas applicants should meet the English requirement of UoA. Check out more information about the requirements and PhD application procedure at UoA: https://www.auckland.ac.nz/en/study/study-options/find-a-study-option/doctor-of-philosophy-phd.html

 

Start date

To be negotiated.

 

PhD Scholarship Funding:

Tuition fee: Waived
Stipend: NZD $35,000 per annum for 3 years.

 

Supervisors

Dr. Kaiqi Zhao and Dr. Jiamou Liu 

Application

Candidates who are interested should send their application via email to kaiqi.zhao@auckland.ac.nz and jiamou.liu@auckland.ac.nz with subject “Application for PhD position“.

The application should include your academic transcripts and CV. Shortlisted candidates will be invited for an interview in person or virtual.

The application will be closed as soon as suitable candidates are found.