Postdoctoral Research Associate in Wi-Fi Device Fingerprinting Grade 7

Unviersity of Liverpool - The Academy; Liverpool; On-site; GBP 30,000 - 40,000; Full time

Job summary

A leading UK university is seeking a motivated Postdoctoral Research Associate to work on radio frequency fingerprint identification (RFFI) for Wi-Fi. You will develop algorithms and evaluate them using innovative testbeds, collaborating with international partners. A PhD in Electrical Engineering or Computer Science is required, along with research experience in wireless communications and deep learning. Join a diverse team dedicated to enhancing workforce diversity.

Qualifications

• PhD degree (or near completion) in a relevant field.
• Research experience in wireless communications and deep learning.
• Experience in channel measurements and Wi-Fi.

Responsibilities

• Design novel RFFI algorithms for Wi-Fi.
• Evaluate performance using software-defined radio platforms.
• Collaborate with external partners and engage in diverse research.

Skills

Wireless communications

Deep learning

Software-defined radio

Education

PhD degree in Electrical Engineering or Computer Science

Job description

Overview

We seek to recruit an enthusiastic, highly motivated Postdoctoral Research Associate (PDRA) to work on an EPSRC-funded project, focused on innovative radio frequency fingerprint identification (RFFI) for Wi-Fi. You will join the team of Dr Junqing Zhang in the School of Computer Science and Informatics at the University of Liverpool. The project will focus on innovative and practical radio frequency fingerprint identification (RFFI) for Wi-Fi. You will design novel RFFI algorithms and further evaluate their performance using practical testbeds such as software-defined radio platforms.

Responsibilities

• Design novel RFFI algorithms for Wi‑Fi and evaluate their performance on practical testbeds such as software-defined radio platforms.
• Collaborate with team members and external collaborators from Rice University, USA to fulfil project deliverables.
• Engage in independent and collaborative research within a diverse, interdisciplinary team.

Qualifications

• PhD degree (or near completion) in Electrical Engineering, Computer Science, or a closely related subject.
• Research experience in wireless communications and deep learning is essential.
• Experience in channel measurements, software-defined radio, and Wi‑Fi.

Contract and opportunities

The post is available for up to 36 months. If you are still awaiting your PhD to be awarded you will be appointed at Grade 6, spine point 30. Upon written confirmation that you have been awarded your PhD, your salary will be increased to Grade 7, spine point 31.

How to apply

To be considered for this post, you should include a cover letter that clearly highlights your skills, how you meet the criteria set out in the person specification below, and your career motivations.

Diversity commitments

The University of Liverpool is committed to enhancing workforce diversity. We actively seek to attract, develop, and retain colleagues with diverse backgrounds and perspectives. We welcome applications from all genders/gender identities, Black, Asian, or Minority Ethnic backgrounds, individuals living with a disability, and members of the LGBTQIA+ community.