Research Associate in Signal Processing and Machine Learning for 6G Networks

Job Details

Job title: Research Associate in Signal Processing and Machine Learning for 6G Networks.

Job reference: REQ260405.

Date posted: 26/06/2026.

Application closing date: 06/07/2026.

Location: Loughborough.

Package: Specialist and Supporting Academic Research grade 6 from £35,608.

Employment type: Full time, Fixed Term until 28 February 2027.

Role Overview

Research in signal processing and machine learning algorithms for physical layer of 6G networks using USRP based communication system.

Collaboration with university and industry partners, including the University of Southampton.

Key Responsibilities

• Develop signal processing and machine learning algorithms for 6G physical layer.
• Implement algorithms on USRP based communication system.
• Collaborate with project partners such as University of Southampton and other academic and industrial partners.

Benefits

• Generous holiday allowance, including 14 university closure days and bank holidays, with option to purchase extra.
• Access to a range of facilities across the 523 acre East Midlands campus and London campus.
• Competitive pay, pension schemes, everyday savings opportunities.
• Life event leave policies, on site nursery at East Midlands campus, flexible and hybrid working options.
• Discounted gym memberships, access to sports facilities, physiotherapy, eyesight testing, wellbeing support.
• Electric vehicle and cycle to work schemes, various travel offers for sustainable commuting.

About the Department

Wolfson School of Mechanical, Electrical and Manufacturing Engineering is one of the largest of its kind in the UK with an international reputation for technological innovation and industry links. Research grants from UK Research Councils and EU, and industrial sponsorship support research posts and state of the art equipment.

Inclusion & Work Life Balance

The University supports a balanced work and personal life with family friendly policies, flexible working arrangements, and part time, flexible, and job share options where possible.