Research Fellow in Scheduling in Distributed Systems

Are you an ambitious researcher looking for your next challenge? Do you have a background in combinatorial optimisation and scheduling? 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 “Algorithmic Support for Massive Scale Distributed Systems”. You will join the theory team contributing to algorithm design and analysis, addressing optimisation problems of efficient resource usage and task scheduling in distributed systems.

Holding a PhD (or close to completion) in Theoretical Computer Science, Mathematics or a similar subject, you will have research experience in algorithms and complexity, combinatorial optimisation and scheduling theory. You will be also familiar with resource management of distributed systems. Additionally, you will have a track-record of high quality peer-reviewed publications, commensurate with experience, the ability to undertake independent high quality research and to carry through research projects from inception to publication, delivering against deadlines.

To explore the post further or for any queries you may have, please contact: 

Dr. Natasha Shakhlevich, School of Computing 

Tel: +44 (0)113 343 5444 or email: n.shakhlevich@leeds.ac.uk 

OR

Professor Vitaly Strusevich, University of Greenwich

Tel: +44 (0)208 331 8662 or email: v.strusevich@greenwich.ac.uk

Location: Leeds - Main Campus
Faculty/Service: Faculty of Engineering & Physical Sciences
School/Institute: School of Computing
Category: Research
Grade: Grade 7
Salary: £33,797 to £40,322 p.a. Due to funding restrictions an appointment will not be made above £35,845 p.a.
Working Time: 37.5 hours per week
Post Type: Full Time
Contract Type: Fixed Term (21 months (grant funding))
Closing Date: Sunday 28 June 2020
Interview Date: To be confirmed
Reference: EPSCP1020
Downloads: Candidate Brief