Research Fellow in Automotive Multistatic Radars
Join Cranfield University’s radar research team to develop advanced perception systems for autonomous vehicles in collaboration with industry partners.
Best for:Best for researchers with a PhD in radar systems, automotive engineering, or related fields, seeking applied research experience in autonomous vehicle perception systems with industry collaboration.
Overview
This 18-month fixed-term position at Cranfield University’s HR & Development Group focuses on advancing automotive multistatic radar technology for connected and automated mobility (CAM). The successful candidate will analyse radar performance in multistatic configurations, evaluate perception algorithms in real-world scenarios, and collaborate closely with industrial partners. Based in Shrivenham, Oxfordshire, the role is ideal for researchers with a PhD in a relevant field, experience in management research, and a strong track record of publishing. The project is funded by Innovate UK and offers hands-on applied research opportunities in a cutting-edge sector.
What you'll do
- Analyse the performance of automotive radars in multistatic configurations for autonomous vehicle platforms.
- Evaluate perception algorithms in diverse real-world driving scenarios to ensure robust and cost-effective operation.
- Collaborate closely with industrial partners to integrate radar units into autonomous vehicle systems.
- Conduct applied research to address critical challenges in the UK’s Connected and Automated Mobility sector.
- Publish research findings and contribute to management research and knowledge dissemination.
- Work within a multidisciplinary team to develop and test advanced radar technologies.
- Engage in project documentation, reporting, and knowledge transfer to stakeholders.
Requirements
Degree required: PhD or equivalent in a relevant field such as radar systems, automotive engineering, electrical engineering, or a related discipline
Language: English; proficiency sufficient for academic and professional communication
Instruction: English
Publications: Experience of publishing research results
- Proven experience in radar systems research or signal processing
- Strong background in automotive or autonomous vehicle technologies
- Experience in management research and publishing research results
- Excellent communication skills for stakeholder engagement and reporting
- Ability to work collaboratively in multidisciplinary teams
- Familiarity with perception algorithms and sensor fusion techniques
- No specific nationality or residency restrictions mentioned
- No age or prior experience caps specified
Funding & terms
How to apply
Deadline: 2026-10-25 (Europe/London) · open until filled
Applicants should contact Professor Alessio Balleri via email at a.balleri@cranfield.ac.uk for an informal discussion. Applications should be submitted through the university’s job portal, quoting reference number 5404. The application process may close early if sufficient candidates are received.
- CV
- Cover letter
- Research statement or outline
- Transcripts of PhD and prior degrees
- Two to three reference letters
Contact
Professor Alessio Balleri· Professor of Radar Systems
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.