The School of Computing Science is looking to recruit a Research Associate to make a leading contribution to the project "KidneyAlgo: New Algorithms for UK and International Kidney Exchange", working with Professor David Manlove and other project collaborators. This 24-month project is funded by the Engineering and Physical Sciences Research Council (EPSRC) in collaboration with Professor Daniel Paulusma from Durham University, under EPSRC grants EP/X013618/1 and EP/X01357X/1.

Specifically, the job requires expert knowledge in the areas of algorithm design and analysis and/or operational research and combinatorial optimisation. The successful candidate will also be expected to contribute to the formulation and submission of research publications and research proposals as well as help manage and direct this complex and challenging project as opportunities allow.

The job involves designing new algorithms for kidney exchange, which provides an additional option for patients who require a kidney transplant, and who have a willing but medically incompatible donor. Patients in this position may swap their donors to receive a compatible kidney, and a kidney exchange programme (KEP) constructs an optimal set of exchanges based on a pool of patient-donor pairs. Given the NP-hardness of the problem of finding an optimal solution, one key challenge to be addressed by this project is to design algorithms that can solve the problem in a reasonable length of time.

The successful candidate will work closely with other members of the team; besides the Principal Investigators, these include a Research Software Engineer at the University of Glasgow, a Research Associate at Durham University, identified overseas collaborators, NHS Blood and Transplant (the Project Partner), and other European transplantation organisations.

This post provides a unique opportunity for the successful candidate to become engaged in research with significant impact, through developing algorithms for the UK Living Kidney Sharing Scheme run by NHS Blood and Transplant, and for other KEPs.

The successful candidate will be a member of the Formal Analysis, Theory and Algorithms (FATA) research section within the School. Support and mentoring will be provided to enable the successful candidate to develop their career in accordance with the key recommendations of the Researcher Condordat.

For informal discussions about the role, please contact Prof David Manlove (David.Manlove@glasgow.ac.uk)

More information on the University of Glasgow's School of Computing Science is available.

For more information about the job and to apply online, click here.

Closing date: 31 January 2023. Interviews will be held on 23 February 2023.