Research Fellow in Computer Science
- University of Leeds
- Location: Leeds, United Kingdom
- Job Number: 7104060 (Ref #: EPSCP1102)
- Posting Date: Jun 27, 2022
Job Description
You will join our EPSRC-funded project Sampling in Hereditary Classes that proposes to bring together two previously distinct areas of fundamental research in algorithms and computational complexity: algorithms for random generation and approximate counting, and structural graph theory.
You will contribute to a theoretical research project on randomized sampling algorithms in graph classes, led by Dr Haiko Müller and Prof Martin Dyer. This is a joint project with Prof Mark Jerrum (QMUL). Your main task will be to design and explore an information system documenting the new results obtained and related existing knowledge on counting problems.
Holding a PhD in Computer Science you will have a background in graph algorithms, graph algorithms and theoretical concepts. You will have hands on experience with the use of database systems and implementation of user interfaces.
What we offer in return
And much more!
To explore the post further or for any queries you may have, please contact:
Dr Haiko Müller, Senior lecturer
Tel: +44 (0)113 343 5445 or email: [email protected]
Location: | Leeds - Main Campus |
Faculty/Service: | Faculty of Engineering & Physical Sciences |
School/Institute: | School of Computing |
Category: | Research |
Grade: | Grade 7 |
Salary: | £34,304 to £40,927 p.a. |
Due to funding restrictions, an appointment will not be made higher than £36,382 p.a. | |
Working Time: | 37.5 hours per week |
Post Type: | Full Time |
Contract Type: | Fixed Term (6 months (grant funding)) |
Release Date: | Friday 24 June 2022 |
Closing Date: | Sunday 03 July 2022 |
Interview Date: | To be confirmed |
Reference: | EPSCP1102 |
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