Research Fellow in Graph Theory
- Employer
- Global Academy Jobs
- Location
- United Kingdom
- Closing date
- Sep 17, 2018
View more
- Sector
- Science, Computer Science and IT, Computer Science, General Computing, Mathematics and Statistics
- Hours
- Full Time
- Organization Type
- University and College
- Jobseeker Type
- Academic (e.g. 'Lecturer')
Job Details
Do you have an established background in graph theory?
Do you want to further your career in one of the UK's leading research-intensive universities?
This post is funded by the EPSRC project “Structure of Hereditary Graph Classes and Its Algorithmic Consequences", led by Professor Kristina Vuškovic. In the past few decades a number of important results were obtained through structural analysis. A growing number of hereditary graph classes are now structurally well understood, but for a lot of them it is still not clear how to exploit their structure algorithmically. This project will focus on developing techniques for structural and algorithmic study of hereditary graph classes, with the aim of gaining insight into the boundaries of what is computationally feasible.With a PhD (or close to completion) in Mathematics, Computer Science or a similar subject, you will have research experience including, but not limited to, structural graph theory, combinatorial optimization, and graph algorithms. Additionally, you will have a track-record of high quality peer-reviewed publications, commensurate with experience and the ability to undertake independent high quality research and to carry through research projects from inception to publication, delivering against deadlines. You will work and liaise closely with and report to the Principle Investigator, Professor Kristina Vuškovic.
To explore the post further or for any queries you may have, please contact:
Professor Kristina Vuškovic, School of Computing
Tel: +44 (0)113 343 5460; or email: k.vuskovic@leeds.ac.uk
Company
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