| Location: | Cambridge |
|---|---|
| Salary: | £37,694 to £46,049 |
| Hours: | Full Time |
| Contract Type: | Fixed-Term/Contract |
| Placed On: | 9th March 2026 |
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| Closes: | 25th March 2026 |
| Job Ref: | PJ49029 |
Department/Location: Department of Psychology, Central Cambridge
A Research Associate (postdoc) in AI and Neuroinformatics is available to work with Prof Zoe Kourtzi (Adaptive Brain Lab, University of Cambridge; https://www.abg.psychol.cam.ac.uk) and Prof Eleni Vasilaki (University of Sheffield, School of Computer Science).
Are you passionate about uncovering the brain mechanisms that support adaptive behaviour and building AI tools for early prediction and personalised interventions for brain and mental health disorders? Join our cross-disciplinary team at the forefront of neuroscience and computational science.
The position focuses on developing AI models to synthesise and analyse diverse datasets including brain imaging, genetics, proteomics, cognitive data, and medical records, aiming to co-create practical tools deployable in real-world clinical settings.
This work is central to a multidisciplinary collaboration bringing together experts in neuroscience, machine learning, and clinical informatics, with healthcare innovation and pharmaceutical industry partners. Our research on early prediction of dementia (https://www.bbc.co.uk/news/health-57934589) has the potential to deliver significant applications in clinical practice.
You will need to have a PhD with evidence of research excellence in a relevant discipline including: Mathematics, Engineering, Physics, Computer Science, Data Science, Biostatistics, Neuroscience, Medicine.
You will receive multidisciplinary research training at the interface of machine learning, neuroscience, and clinical translation. You will be an integrated member of the BrainHealthX Hub (https://www.abg.psychol.cam.ac.uk/brainhealth-hub) that fosters cross-disciplinary collaborations across sectors and disciplines (academia, healthcare, industry), aiming to develop analytics tools for brain and mental health.
Fixed-term: The funds for this post are available for 2 years in the first instance, with the possibility of extension for a further year.
To apply online for this vacancy and to view further information about the role, please click on the 'Apply' button above.
Informal enquiries are welcomed and should be directed to: Prof. Zoe Kourtzi (zk240@cam.ac.uk)
Please quote reference PJ49029 on your application and in any correspondence about this vacancy.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.
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