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 and matheuristic optimisation methods, mathematical/constraint programming, and the knowledge of decomposition-based optimisation techniques is highly desirable.
This Deakin University funded research stipend available for both domestic and international candidates is worth of 28,900 AUD 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 paid teaching activities to secure additional income.
For more information or to apply, interested candidates should contact Dr Sergey Polyakovskiy (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 (Deakin University expects the IELTS overall score or its equivalent to be at least 6.5, with no band score be less than 6.0)
* Contact details of two referees familiar with your research and/or studies
Applications will be considered once they are received but no later than April 25, 2022. Applicants must be generally eligible to enrol in a PhD program at Deakin University. For more information, please, refer to https://www.deakin.edu.au/study/fees-and-scholarships/scholarships/find-a-scholarship/hdr-scholarship-optimisation-problems.
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