Job offer in england Research Assistant in Time Complexity Analysis of Hyper-heuristics at University of Sheffield

Contract Type: Fixed-term for 6 months to start as soon as possible

The Department of Computer Science is seeking a Research Assistant to work on the time complexity analysis of bio-inspired hyper-heuristics. The position is part of an EPSRC funded project entitled “Rigorous Runtime Analysis of Bio-inspired Computing”. The Rigorous Research project team is based in the Algorithms Research Group at the Department of Computer Science and reports to Dr. Pietro Oliveto.

You will work in a well-connected international team with expertise in bio-inspired computing, to develop the research objectives of the project and to contribute to its administration under the supervision of the Principal Investigator. You will collaborate closely and drive the interaction with several national and international project partners. You will also contribute to the organisation of activities aimed at maximising the dissemination and impact of the results as well as developing further research objectives and contributing to future bids for research funding.

Candidates must have a good first degree. A PhD in computer science is desirable. You should have good knowledge and strong experience of the theoretical analysis of bio-inspired computation techniques in general and, in particular, of the time complexity analysis of hyper-heuristics.

We’re one of the best not-for-profit organisations to work for in the UK. The University’s Total Reward Package includes a competitive salary, a generous Pension Scheme and annual leave entitlement, as well as access to a range of learning and development courses to support your personal and professional development.

We build teams of people from different heritages and lifestyles from across the world, whose talent and contributions complement each other to greatest effect. We believe diversity in all its forms delivers greater impact through research, teaching and student experience.


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