Problems with Multiple Objectives
Interested in optimization algorithms for solving business, management,
operations research and industrial optimization problems with real-world
impact? Then this project is for you!
A PhD studentship funded by a generous scholarship drawing together ideas on
co-operation in nature, co-operative game AI, and automatic algorithm design in
order to tackle large-scale challenges in optimising energy transition
technologies.
What you get:
* PhD degree from the The University of Manchester (top 10 in Europe, top 50 in
the World)
* Competitive stipend of at least *22,500 GBP* / year (tax-free)
* Work placement (3 months) at SLB Cambridge Research site (all expenses
covered) to develop your research work and learn from top scientists and domain
experts
* All University fees paid by the project.
*Industrial partner:* SLB / Schlumberger Cambridge Research
*
**Supervisors:* Manuel López-Ibáñez (University of Manchester); Joshua Knowles
(SLB / SCR)
/This project is open for UK/EU/International candidates/
*Application deadline:* 19 January 2024 (if you need more time please let us know)
For more details about this project, please see:
https://lopez-ibanez.eu/icase-phd-2024 <https://lopez-ibanez.eu/icase-phd-2024>
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*Dr Manuel López-Ibáñez | Senior Lecturer (Assoc Prof) | Director of
Postgraduate Taught Programmes |* Alliance Manchester Business School | The
University of Manchester | http://lopez-ibanez.eu
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ACM Transactions on Evolutionary Learning and Optimization (TELO)
<https://dl.acm.org/journal/telo>
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AMBS PGT Handbook < https://ambs.pgthandbook.manchester.ac.uk>
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Student appointments via Calendly <https://calendly.com/manuel-lopez-ibanez>
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