Research Fellow on Machine Learning for Wireless Sensing and Communication

Dyddiad hysbysebu:	09 Hydref 2025
Cyflog:	£38,748 i £46,049 bob blwyddyn
Oriau:	Llawn Amser
Dyddiad cau:	23 Hydref 2025
Lleoliad:	Hatfield, Hertfordshire
Gweithio o bell:	Ar y safle yn unig
Cwmni:	University of Hertfordshire
Math o swydd:	Dros dro
Cyfeirnod swydd:	REQ000201

Crynodeb

Post Title: Research Fellow on Machine Learning for Wireless Sensing and Communication
SBU/Department: School of Physics, Engineering and Computer Science

FTE: 1 (working 37 hours per week)
Contract Type: Fixed-Term
Salary: UH7 £38,784 pa to £46,049 pa by annual increments on achieving designated skills and experience
Annual Leave: 35 days plus standard public holidays and an additional 4 days including the closure of our office between Christmas and New Year
Location: Hatfield, Hybrid

We are seeking a full-time Research Fellow on Machine Learning for Wireless Sensing and Communication to join the Communications and Intelligent Systems (CIS) Research Lab in the School of Physics, Engineering and Computer Science at the University of Hertfordshire.

This role will contribute the development of novel machine learning algorithms for wireless sensing and communication and the proof of concepts for next-generation wireless communication, collaborating with other team members within the group, and external research institutes and industry partners within UK Federated Telecoms Hubs and beyond. We have hardware-based radar and communication systems for fresh data collection, providing opportunities for hands-on, first-hand, high impact research.

Main duties and responsibilities
The Research Fellow will be responsible for developing and implementing machine learning algorithms for radar/comm applications, establishing clear research objectives, and engaging in the collaborative projects. In addition, the position involves disseminating research findings through high-impact publications and conference presentations. This is a research-focused position and no teaching duties are required.

Skills and experience required
Specifically, the position requires research expertise in machine learning algorithm design and applications. The research experience in the applications for radar sensing and/or communication, such as channel modelling, signal analysis & classification, target recognition would be desirable. The hand-on experience in demonstration development will be a plus. This Research Fellow role will create opportunities to maximise research activities, capturing relevant evidence to support impact and engaging with external partners and stakeholders.

Qualifications required
Candidates should have a PhD degree (or equivalent qualification) in electronics engineering, or closely related subjects (such as Computer Science, Maths, Engineering or Physics), and possess a strong track record in machine learning, and/or wireless communication, radar sensing. Excellent communication, organisational, and problem-solving skills, as well as the ability to work independently and as part of a multidisciplinary team, are essential.

This post is fixed-term until 31 March 2026 with possible extension.

Please view the job description and person specification for a full list of the duties and essential criteria. Please attach a personal statement showing clearly how your skills and experience match the Person Specification

Internal applicants – please ensure you apply via your employee self-service portal.

An appointment to this role may require an Academic Technology Approval Scheme (ATAS) certificate

Contact Details/Informal Queries: Dr. Pan Cao, p.cao@herts.ac.uk

Closing Date: 23 October 2025
Interview Date: To be confirmed
Reference Number: REQ000201
Date advert placed: 09 October 2025

Our vision is to transform lives: UH is committed to Equality, Diversity and Inclusion and building a diverse community. We welcome applications from suitably qualified and eligible candidates regardless of their protected characteristics, and recognise there are different ways applicants may achieve the criteria in this document. We offer a range of employee benefits including generous annual leave, flexible location opportunities within the UK, discounted Sports Village memberships and free Active Staff sessions, personal and professional development and family-friendly policies. #GoHerts

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