City St George's, University of London
Postdoctoral Image Analyst - Tooting (Redeployee Applicants Only)
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Postdoctoral Image Analyst
Please note: This role is only open to redeployee applicants at City St George's in the first instance. Applications from individuals who are not redeployee applicants will not be considered at this time.
If you are a redeployee, to apply please email your CV and cover letter to RecruitmentCoordinators@citystgeorges.ac.uk with the job title and reference number, demonstrating how you meet the essential criteria outlined in the person specification.
About the Employer
City St George’s, University of London is the University of business, practice and the professions and brings together the expertise and excellence of City, University of London and St George’s, University of London into one institution. The combined university is now one of the largest higher education destinations for London students, combining a breadth of disciplines across health, business, policy, law, creativity, communications, science and technology. Our students are at the heart of everything that we do, and we are committed to supporting them to pursue their career and personal ambitions.
Our research is engaged, at the frontier of practice and has a positive impact on the world around us.
Role Overview
The Division of Translational Neuroscience at City St George’s, University of London is seeking a Postdoctoral Image Analyst to contribute to the CONTENTed and COVID-19 neuroimaging studies. The research explores structural and functional brain changes associated with severe asthma and COVID-19. Based at our Tooting campus, the successful candidate will join a multidisciplinary team of scientists and clinicians, applying and developing magnetic resonance image analysis techniques to address novel research questions.
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Responsibilities
- Develop and apply novel magnetic resonance imaging techniques to neuroimaging data from the CONTENTed and COVID-19 studies.
- Develop automated data-processing pipelines.
- Analyse clinical and cognitive data.
- Interpret research findings.
- Prepare high-quality publications and presentations.
- Contribute to grant and ethics applications.
- Work closely with scientists and clinicians.
- Maintain accurate research records.
- Contribute to image analysis protocols.
- Support student supervision and training.
- Participate in the Division’s wider academic activities.
Person Specification
- Hold a PhD in an area related to magnetic resonance image analysis of the brain.
- Have detailed knowledge of neuroimaging and respiratory disease.
- Essential experience includes applying algorithms to magnetic resonance images, developing image analysis pipelines, computer programming, and writing journal articles.
- Competent in Linux, Microsoft Office, and statistical analysis software such as SPSS or R.
- Excellent communication, interpersonal, and organisational skills.
- Ability to work effectively and independently within multidisciplinary teams.
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Additional Information
- Closing date for applications: 11 October 2026 at 11:59pm.
- For more information, please refer to the job description. https://cityuni.sharepoint.com/:b:/s/cs_recruitdirectory/IQCaExGg9QgHTLT33GmhkqcuAZHGZmMFvIWh8lA-x_5yQNE?e=jLYNgz
- The selection process will involve an interview and presentation. Further details will be confirmed at the interview stage.
Benefits
City St George’s offers a sector-leading salary, pension scheme, and benefits including a comprehensive package of staff training and development.
Equality, Diversity and Inclusion
City St George’s, University of London is committed to promoting equality, diversity, and inclusion in all its activities, processes, and culture for our whole community, including staff, students, and visitors. We welcome applications regardless of age, caring responsibilities, disability, gender identity, gender reassignment, marital status, nationality, pregnancy, race and ethnic origin, religion and belief, sex, sexual orientation, and socio-economic background. City St George’s operates a guaranteed interview scheme for disabled applicants.
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