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Dame kathleen ollerenshaw university research fellowship - instrumentation for x-ray radiation detection with rapiscan

Manchester
The University of Manchester
Posted: 5 April
Offer description

BACKGROUND

The Faculty of Science and Engineering (FSE) at the University of Manchester has been investing in Early Career Researchers for many years, increasing the diversity of our staff. These represent a strategic investment in outstanding researchers who will shape our future research portfolio. In 2026, we plan to appoint Dame Kathleen Ollerenshaw University Research Fellowships in FSE. These fellowships are fixed term for 5 years and are an excellent stepping-stone to establishing an independent research career and gaining a full-time permanent academic position.

FSE and Rapiscan () have, for many years, worked together on collaborative research in the field of security screening technologies. This has included development of x-ray CT baggage screening systems and research into novel instrumentation for x-ray cargo screening and metal detection. As a step in growing this strategic partnership we plan to appoint a Dame Kathleen Ollerenshaw University Research Fellowship in a joint venture between the Faculty of Science and Engineering and Rapiscan. The fellowship will have a focus in instrumentation development, with consideration of applications to security screening. Proposals should demonstrate how they align to the industrial partner priorities in any of the following areas:

1. Development of novel instrumentation based on scintillator technology for use in x-ray imaging and radiation detection. X-ray detection is the priority. X-ray imaging systems use x-rays with energies ranging from a few hundred keV to 6 MeV.
2. Instrumentation development may include but is not limited to novel detector materials, new detector array architecture, enhanced signal processing techniques, incorporation of the latest in electronics and readout systems.
3. Identification of emerging competitive technologies or imaging modalities with consideration of both performance and cost.
4. Application of algorithms for in x-ray image reconstruction or object identification within images or for isotopic analysis and source locations from radiation detection systems are welcome, including through the use of AI. This is expected to be a supplementary element with a primary focus on hardware system development.

Proposals should also highlight their contribution to priority areas of research for the Faculty. Alignment to work in national and international priorities such as, but not limited to, those of the UK government technology priority areas, national laboratories and European Committee for Future Accelerators Detector Research & Development Collaborations is welcome.

The University actively fosters a culture of inclusion and diversity and seeks to achieve true equality of opportunity for all members of its community. The Faculty is committed to having a representative workforce. Across the Schools we hold Bronze and Silver Athena SWAN Awards, which recognise our commitment to equality, diversity and inclusion and particularly the advancement of women’s education and careers in STEM.

The University also holds a Bronze Race Charter Mark recognising our commitment to improving the representation, progression and success of minority ethnic staff and students within higher education. In addition, we are a Disability Confident Employer, guaranteeing an interview for any disabled applicant who meets the minimum requirements for a job.

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