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.
There are seven positions available across the CHEDDAR project. To view the other roles, clickhere.
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 or email: [email protected]
OR
Dr Des McLernon, Reader
Email: [email protected]
Location: Leeds - Main CampusFaculty/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: £37,099 to £44,263 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: Monday 04 March 2024 Closing Date: Sunday 07 April 2024 Reference: EPSEE1121 Downloads: Candidate Brief
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