Current open opportunities:

1. Research Project Opportunities for ANU Students

• Deep Learning for Efficient Route Planning

• Geometric Route Planning

• Graph Deep Learning - Theory and Practice

• Scalable Graph Algorithms for Data Science

• Representation Learning for Multi-View Graphs

 

2. ANU School of Computing PhD opportunities: “Scalable Graph Algorithms”

We are looking for an excellent candidate for a Ph.D. position in the Graph Research Lab (https://graphlabanu.github.io/website/), School of Computing at the Australian National University. You will work under the supervision of Associate Professor Qing Wang, Dr Muhammad Farhan, Dr Henning Koehler and Professor Brendan McKay. You will be involved in developing new techniques and algorithms to advance state-of-the-art research in the area of graph algorithms, graph theory, and network science. Some related publications can be found at https://graphlabanu.github.io/website/projects/.

The ideal candidate should have

• a Bachelor/Master’s degree in computing or mathematics with first-class honours or equivalent
• a very good background in algorithms and theoretical computer science
• excellent programming skills in C/C++/Java

Please email your inquiries/applications to Dr. Muhammad Farhan (muhammad.farhan@anu.edu.au) with the subject ‘PhD Application’ and the following documents:

1. Cover letter and/or essay
2. Resume
3. Academic transcripts
4. Prior research work (thesis/research papers etc.)
5. Contact details of 2-3 referees

Please note that applicants will need to apply for admission following the ANU HDR policy and meet the language requirements by ANU.

 

3. ARC Discovery Project PhD opportunities: “Deep Learning for Graphs”

Supported by a grant from the Australian Research Council, we are currently looking for 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. PhD students will be supervised by Prof. Brendan McKay and A/Prof. Qing Wang, and may collaborate on other related projects in the team. Some related publications can be found at https://graphlabanu.github.io/website/projects/.

Eligibility

• 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).
  

Application

Please email your inquiries/applications 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.

Please note that applicants will need to apply for admission following the ANU HDR policy and meet the language requirements by ANU.