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

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

Loughborough Full-Time 35608 - 35608 £ / year (est.) Home office (partial)
Loughborough University

At a Glance

  • Tasks: Develop cutting-edge algorithms for 6G networks and collaborate with top universities.
  • Company: Join a leading university known for innovation and industry connections.
  • Benefits: Generous holidays, flexible working, and access to fantastic campus facilities.
  • Other info: Dynamic research environment with excellent career development opportunities.
  • Why this job: Be at the forefront of technology and shape the future of communication.
  • Qualifications: Experience in signal processing and machine learning is a plus.

The predicted salary is between 35608 - 35608 £ per year.

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.

Research Associate in Signal Processing and Machine Learning for 6G Networks in Loughborough employer: Loughborough University

As a Research Associate in Signal Processing and Machine Learning for 6G Networks at Loughborough, you will join a vibrant academic community renowned for its commitment to innovation and collaboration with industry leaders. The university offers a supportive work culture with generous benefits, including a competitive salary, extensive holiday allowance, and flexible working options, ensuring a healthy work-life balance while fostering professional growth through access to state-of-the-art facilities and resources. With a focus on employee wellbeing and development, this role provides a unique opportunity to contribute to cutting-edge research in a dynamic environment.

Loughborough University

Contact Details:

Loughborough University Recruitment Team

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We think this is how you could land Research Associate in Signal Processing and Machine Learning for 6G Networks in Loughborough

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We think you need these skills to ace Research Associate in Signal Processing and Machine Learning for 6G Networks in Loughborough

Signal Processing
Machine Learning
Algorithm Development
USRP-based Communication Systems
Collaboration Skills
Research Skills
Data Analysis

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