[DMANET] One funded PhD position at Deakin University (Melbourne, Australia)

The Research Centre for Optimisation 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 to earn additional income.

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 July 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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