Graph Research Lab, ANU School of Computing
We are a research team at the School of Computing, Australian National
University, Canberra. Our overarching research goal is to explore and
understand graph-structured data. Supported by a grant from the
Australian Research Council, we are currently looking for new PhD
students with passion, talent and grit to join the team. You will have
the chance to work on the grand challenges at the intersection of deep
learning and graph theory. You will be involved in discussing important
and interesting questions in this challenging area, developing new
heuristic techniques and theories to advance state-of-the-art
methodologies, and evaluating their applications in solving real-world
problems. Each PhD student will have their own PhD project under the
joint supervision of Prof. Brendan McKay and A/Prof. Qing Wang, and may
collaborate on other related projects in the team.
#Scholarship information:
Two PhD scholarships are available, each including a living allowance of
$28,597 per annum with a waived tuition fee, in accordance with the
standard of ANU University Research Scholarships. The successful
applicants will be supported by the scholarship for 3.5 years.
#Eligibility (please do not apply if these conditions are not met):
- A Bachelor/Masters degree in computing or mathematics with
first-class honours or equivalent;
- Excellent programming skills;
- Strong interest in mathematics or theoretical computer science;
- Good knowledge of machine learning/deep learning (e.g., have
undertaken courses in machine learning).
#Preferences:
The following conditions are preferred but not compulsory: (1) have
previously done some research work, particularly in the area of machine
learning, and (2) have a good knowledge of graph theory or related subjects.
#Application:
Please email your inquiries/application to A/Prof. Qing Wang
(qing.wang@anu.edu.au) with the subject 'PhD Application' and the
following documents:
(1) You need to attach a motivation letter (max one page) on why
you would like to join our team and about your research interests.
(2) Please also attach a CV, academic transcripts, previous
research work, e.g., Honors/Masters thesis, papers, etc. There is no
need to send certificates.
(3) Please indicate whether you are in Australia (on-shore) or
outside of Australia (off-shore). Also, please indicate your country of
citizenship.
Please note that short-listed applicants for these PhD scholarships will
need to apply for admission to a PhD program following the ANU Higher
Degree for Research policy and meet the English proficiency requirements
set by ANU. We will provide you further information if you are short-listed.
#Timeline:
We will start reviewing applications from early July 2021, until the
positions are filled. For on-shore students, you can start this year as
soon as you receive an offer or early 2022. For off-shore students, due
to the current virus-related border restrictions in Australia, you can
start in the first half of 2022 or earlier as soon as the Australian
border restrictions are lifted.
#Other information:
- Graph Research Lab: https://graphlabanu.github.io/website/
- ANU School of Computing: https://cs.anu.edu.au/
- ANU College of Engineering and Computer Science webpage for PhD &
MPhil applicants: https://cecs.anu.edu.au/study/phd-mphil
- Webpage of Brendan McKay: http://users.cecs.anu.edu.au/~bdm/
- Webpage of Qing Wang: http://users.cecs.anu.edu.au/~u5170295/
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