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Research Fellow in Compilers and Computing Performance Optimisation

Are you an ambitious researcher looking for your next challenge? Do you have an established background in compilers and systems optimisation? Do you want to further your career in one of the UK's leading research-intensive Universities?

You will on a funded project to develop the next-generation compiler technology through cutting-edge machine learning techniques. You will be highly motivated in helping to push the boundaries of knowledge and technology in machine-learning-based systems optimisation.

Holding a PhD (or have submitted your thesis before taking up the role) in Computer Science or a closely allied discipline; you will have a strong background in Computer Science, particularly in compilers or operating systems. Excellent programming skills are essential. You will join a vibrant research team investigating software optimisation techniques for emerging multi-core systems.


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

Dr Zheng Wang, Associate Professor 

Tel: +44 (0)113 343 1077 or email: Z.Wang5@leeds.ac.uk 


Please note: If you are not a British or Irish citizen, from 1 January 2021 you will require permission to work in the UK. This will normally be in the form of a visa but, if you are an EEA/Swiss citizen and resident in the UK before 31 December 2020, this may be your passport or status under the EU Settlement Scheme.


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.
Working Time:  37.5 hours per week
Post Type:  Full Time
Contract Type:  Fixed Term (18 months (grant funding))
Release Date:  Tuesday 13 July 2021
Closing Date:  Sunday 12 September 2021
Interview Date:  To be confirmed
Reference:  EPSCP1059
Downloads:  Candidate Brief  
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