INDUSTRIAL CASE PhD Studentship: A Co-operative Algorithm Framework for Solving Large-Scale Heterogeneous Problems with Multiple Objectives
Manuel López-Ibáñez
A Co-operative Algorithm Framework for Solving Large-Scale Heterogeneous 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
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
ACM Transactions on Evolutionary Learning and Optimization (TELO)
Student appointments via Calendly