Research Fellow in Computer Science
- Employer
- University of Leeds
- Location
- Leeds, United Kingdom
- Salary
- £34,304 to £40,927 p.a.
- Closing date
- Jul 3, 2022
View more
- Sector
- Science, Computer Science and IT, Computer Science
- Hours
- Full Time
- Organization Type
- University and College
- Jobseeker Type
- Academic (e.g. 'Lecturer')
You need to sign in or create an account to save a job.
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.
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: H.Muller@leeds.ac.uk
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.
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: H.Muller@leeds.ac.uk
You need to sign in or create an account to save a job.
Get job alerts
Create a job alert and receive personalized job recommendations straight to your inbox.
Create alert