The Data to Intelligence Research Centre at the School of Information Technology, Deakin University has one open vacancy in the area of discrete optimisation for a fully funded doctoral student. The research topic focuses on developing advanced solution techniques to applied multi-component combinatorial optimisation problems.
The candidate should have a Master degree (or equivalent) in Computer Science, Operations Research, Artificial Intelligence, Applied Mathematics, or a related field. Strong academic performance, programming and mathematical skills as well as a good level of written and oral English are essential. Experience with metaheuristic optimisation methods, mathematical/constraint programming, and knowledge of hybrid and decomposition-based optimisation techniques is desirable.
This is a research scholarship available for both domestic and international candidates and worth of AU$ 27,596 per annum (tax exempt) to support living costs for up to 3 years. During the study period, doctoral students are also allowed to participate on a part-time basis in ongoing teaching activities.
For more information or to apply, interested candidates should contact Dr Sergey Polyakovskiy (sergey.polyakovskiy at deakin.edu.au<mailto:sergey.polyakovskiy@deakin.edu.au>). The application package must include the following:
- Cover letter stating your motivation and outlining your research interests/experience
- Detailed curriculum vitae with a list of publications and awards (if any)
- Academic transcripts of Bachelor and Master programs
- Evidence of English proficiency if available (IELTS overall score of 7 with no band score less than 6.5 or equivalent is expected by Deakin University)
- Contact details of two referees familiar with your research and/or studies
Applications will be considered as soon as they are received but no later than December 15, 2019. Applicants must be generally eligible to enrol in a PhD program at Deakin University. For more information, please, refer to http://www.deakin.edu.au/research/become-a-research-student.
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