Research Associate - Machine Learning for Network Slicing

Research Associate - Machine Learning for Network Slicing
Specialist and Supporting Academic Research grade 6 from £33966 to £39347

Wolfson School of Mechanical Electrical and Manufacturing Engineering

Full Time, Fixed-term position until 31/03/2025

Applications are invited for a Research Associate position to conduct research in the areas of communications networks within the Signal Processing and Networks research group at Loughborough University. The focus will be on the development of machine learning methods and signal processing algorithms to enable optimised network slicing in 6G networks. 

Applicants must have a PhD (or about to obtain a doctoral degree soon) in Electronic Engineering or in a relevant field and research experience in signal processing or wireless communications or machine learning. 

Familiarity with wireless communications, machine learning, convex optimization, network performance analyses and end-to-end slice orchestration and management would be an advantage.

Candidates should have a strong publication record with extensive experience in publishing research findings in international journals and conference proceedings. Good programming skills and experience in Matlab and Python programming are essential.

For more information refer to the Job Description and Person Specification.

Applicants are asked to attach their best journal publication to their application. Please upload all your documents as a single file.

For informal discussion, please contact Dr Mahsa Derakhshani at [email protected].

Application Closing Date:  15/04/2024

Interview Date: w/c 29/04/2024

Our Benefits

·         Generous annual leave allowance up to* 44 days (inclusive of Bank Holidays & University closure days)

·         Competitive pension schemes

·         A range of childcare support initiatives and benefits including childcare vouchers; on-site university nursery (with salary sacrifice scheme); and holiday play schemes.

·         We offer a range of family friendly, inclusive employment policies.

·         BUPA Cash Plan (100 scheme)

·         Employee Assistance Programme

·         Season ticker loan scheme

·         On campus parking with charging points for electric vehicles

·         Fantastic range of sports facilities and preferential membership packages available

·         Fantastic CPD, Linkedin learning and inclusive resources for development