Thursday, December 16, 2021

[DMANET] PhD studentships at the School of Computing Science, University of Glasgow

The School of Computing Science at the University of Glasgow is offering up to 13 studentships to support PhD research for students starting in October 2022 or shortly thereafter. Funding is available to support tuition fees for both home and international students, and in most cases to support living expenses at the recommended UKRI rate (currently 15,582 pounds per annum) in addition.

Whilst the above funding is open to students in all areas of computing science, applications in the area of algorithms and complexity are welcomed. Available supervisors in this area at the School include:

* Dr Gramoz Goranci (dynamic graph algorithms, graph sparsification, numerical linear algebra, metric embeddings), email gramoz.goranci@glasgow.ac.uk
* Prof David Manlove (combinatorial and graph algorithms, optimisation, matching problems), email david.manlove@glasgow.ac.uk
* Dr Ciaran McCreesh (constraint programming, algorithm engineering, empirical algorithmics), email ciaran.mccreesh@glasgow.ac.uk
* Dr Sofiat Olaosebikan (graph algorithms, matching theory, optimisation, resource allocation in wireless networks), email sofiat.olaosebikan@glasgow.ac.uk

Students can apply for admission to PhD study at any time, but to be considered for the studentships we are offering at this round, we must receive your application by 31 January 2022. For more information about how to apply, see https://www.gla.ac.uk/schools/computing/postgraduateresearch/prospectivestudents. This web page includes information about the research proposal, which is required as part of your application.

Applicants are strongly encouraged to contact a potential supervisor and discuss an application before the submission deadline. See https://www.gla.ac.uk/schools/computing/postgraduateresearch/prospectivestudents/studentshipinformation and https://www.gla.ac.uk/schools/computing/postgraduateresearch/prospectivestudents/phd-projects for more details about the funding available.

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