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post-doc: Postdoctoral Research Fellow in Quantum Optimisation
Where: Exeter, United Kingdom United Kingdom
What: This new full time post is available from 1 January 2023 on a fixed term basis until 31 December 2023. This role offers the opportunity for hybrid working – some time on campus and some from home.

IN SHORT:

We are hiring a Postdoctoral Research Fellow in the area of combinatorial optimisation on quantum computers. This is a joint project between the University of Exeter (UK) and City Science (https://www.cityscience.com/ <https://www.cityscience.com/>). The focus will be on modelling transportation problems to run on quantum computers, and it involves formulating these problems as Quadratic Unconstrained Binary Optimisation (QUBO), related to the Ising
Model. More details can be found at the University of Exeter Jobs website:
https://jobs.exeter.ac.uk/hrpr_webrecruitment/wrd/run/ETREC107GF.open?VACANCY_ID=998508aph8&WVID=3817591jNg&LANG=USA

ADDITIONAL INFORMATIONS:

The University of Exeter is a member of the prestigious Russell Group of research-intensive universities and in the top 150 universities in the world (Times Higher Education World University Rankings 2022 and QS World University Ranking 2022).

The Department of Computer Science wishes to recruit a Postdoctoral Research Fellow to support the work of Dr Alberto Moraglio and Prof Ed Keedwell on the UKRI project ‘Exploiting Quantum Computing for Large-Scale Transport Models’ in collaboration with City Science.

Quantum optimisation is the use of quantum computers to solve hard optimisation problems. A key requirement for a problem to be solved on a quantum computer is to be formulated in the form of a QUBO (Quadratic Unconstrained Binary Optimisation) problem. The focus of the post will be to develop the formulation of a range of real-world transport optimisation problems in the form of QUBO problems and solve these on quantum annealing and quantum gate computers, as well as using hybrid classic and quantum approaches. These will also be compared with traditional metaheuristic and hyper-heuristic approaches for the same problems. The post will require to actively collaborate with other researchers working on the project and industrial partners at City Science.

The successful applicant will be able to research, formulate problems, develop and analyse algorithms and present information on research progress and outcomes, communicate complex information, orally, in writing and electronically. In particular, the successful applicant will have experience in optimisation and the modelling of transportation systems, and good programming knowledge. Expertise in quantum optimisation and a strong mathematical background will be advantageous.

Applicants will possess a relevant PhD and be able to demonstrate sufficient knowledge in the discipline and of research methods and techniques to work within established research programmes.



Who: Alberto Moraglio, a.moraglio@exeter.ac.uk
When: Until 2022-09-19 19:00
Presented at next GECCO?: no



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