Research Assistant or Research Fellow in Distributed Systems and Optimisation Algorithms

University of Leeds

Leeds, United Kingdom

Job posting number: #7146880 (Ref:EPSCP1130)

Posted: May 25, 2023

Job Description

Are you an early career researcher looking for your first challenge, or are you an experienced researcher looking for your next challenge? Do you have a background in distributed systems and optimisation algorithms? Do you want to further your career in one of the UK’s leading research-intensive Universities?

You will join our EPSRC-funded project “Algorithmic Support for Massive Scale Distributed Systems”, which has been underway since 2020.   Your work will be built upon ongoing research of the two project teams, theoretical and applied.

As a Research Assistant you will have a BSc, BEng or MEng in Computer Science, and experience in algorithm design and implementation for optimising resource usage in distributed systems. You will also have experience of working independently, possess excellent interpersonal and communication skills with a willingness to work flexibly.

As a Research Fellow you will have a PhD (or have submitted your thesis before taking up the role) in Computer Science and significant experience in applied and theoretical research. The required areas of expertise are massive-scale resource management for distributed systems, optimisation algorithms and machine learning. 


What we offer in return

And much more!  


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

Dr. Natasha Shakhlevich, Senior Lecturer

Tel: +44 (0)113 343 5444 or email: [email protected]

OR

Prof. Jie Xu, Head of Distributed Systems and Services Group

Tel: +44 (0)113 343 5193 or email: [email protected] 


Location:  Leeds - Main Campus
Faculty/Service:  Faculty of Engineering & Physical Sciences
School/Institute:  School of Computing
Category:  Research
Grade:  Grade 6 to Grade 7
Salary:  £29,762 to £43,155 p.a.
Working Time:  37.5 hours per week
Post Type:  Full Time
Contract Type:  Fixed Term (Until 30 April 2024 due to grant funding)
Release Date:  Wednesday 24 May 2023
Closing Date:  Sunday 18 June 2023
Interview Date:  To be confirmed
Reference:  EPSCP1130


The University community is made up of a wide range of people with diverse backgrounds and circumstances, which we value and regard as a great asset. As part of our continued commitment to equality and inclusion, we strive to create an environment where everyone can reach their full potential and have a real opportunity to participate in and contribute to our activities.


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