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Research Fellow in Green AutoML for 6G Edge-Fog-Cloud Continuum

The 6G National Research Programme is at the forefront of pioneering research and development in the field of 6G technologies. As part of the Communications Hub for Empowering Distributed Cloud Computing Applications and Research (CHEDDAR), we are focused on advancing the integration of UK expertise in communications and networking to maintain the country's leadership in 6G technologies. Our research is generously funded by the Engineering and Physical Sciences Research Council (EPSRC) and the Department of Science, Innovation, and Technologies (DSIT). By joining our team, you will have the opportunity to collaborate with leading experts nationwide and contribute to groundbreaking projects in the field.

We are seeking a Research Fellow to join our team and lead the research efforts in the domain of Green AutoML for 6G Edge-Fog-Cloud Continuum. As part of the CHEDDAR Hub, you will work alongside a diverse group of researchers dedicated to pushing the boundaries of 6G technology. Your primary responsibility will be to spearhead research initiatives aimed at developing green machine learning approaches, contributing to the advancement of sustainable practices for incorporating machine learning (ML) in telecommunication networks.

Holding a PhD (or have submitted your thesis before taking up the role) in Electronic and Electrical Engineering or a closely allied discipline, you will have a background in system level modelling and in programming with proficiency in at least one programming language (e.g., Python, Java, Rust, C/C++). 

We are open to discussing flexible working arrangements.


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

Dr Syed Zaidi, Associate Professor 

Tel: +44 (0)113 343 5241

Email: S.A.Zaidi@leeds.ac.uk 

OR 

Dr Des McLernon, Reader 

Email: D.C.Mclernon@leeds.ac.uk 


Please note that this post may be suitable for sponsorship under the Skilled Worker visa route but first-time applicants might need to qualify for salary concessions. For more information, please visit: www.gov.uk/skilled-worker-visa.

For research and academic posts, we will consider eligibility under the Global Talent visa. For more information, please visit: https://www.gov.uk/global-talent.


What we offer in return

  • 26 days holiday plus approx.16 Bank Holidays/days that the University is closed by custom (including Christmas) – That’s 42 days a year!
  • Generous pension scheme plus life assurance– the University contributes 14.5% of salary
  • Health and Wellbeing: Discounted staff membership options at The Edge, our state-of-the-art Campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports halls.
  • Personal Development: Access to courses run by our Organisational Development & Professional Learning team.
  • Access to on-site childcare, shopping discounts and travel schemes are also available.

And much more!  

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Job Details
Location
Leeds - Main Campus
Faculty/Service
Faculty of Engineering & Physical Sciences
School/Institute
School of Electronic & Electrical Engineering
Section
Institute of Communications and Power Networks
Category
Research
Grade
Grade 7
Salary
£38,205 to £45,585 p.a.
Working Time
37.5 hours per week
Post Type
Full Time
Contract Type
Fixed Term (12 months - To complete specific time limited work.)
Release Date
Tuesday 10 September 2024
Closing Date
Tuesday 24 September 2024
Reference
EPSEE1131
Downloads
Candidate Brief (PDF)
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