Research Associate (Fixed Term)

Department/Location: Department of Clinical Neurosciences

This post is a 12 month position to support the development and validation of AI/machine learning methods for MRI data for the diagnosis and prognosis of dementia. This work forms part of a Wellcome Trust funded Innovation grant to apply machine learning to neuroimaging for clinical benefit.

This post will suit someone with neuroimaging and/or machine learning experience, particular someone focused on clinical translation. The focus of the 12 months will be to build on existing machine learning models, optimising their use to include multimodal MRI data. There will be scope to develop self-directed projects and to design follow-on projects.

For this post, the successful applicant will have a background an undergraduate degree in a neuroscience, psychology, engineering, computing or similar subject, with a PhD in a related field. A familiarity with neuroimaging data and curation will be highly desirable, as is experience with coding in programming languages such as python and matlab. This is a collaborative project, so good organisation and communication skills are essential.

For questions relating to the post, please contact Dr Timothy Rittman at tr332@medschl.cam.ac.uk

Fixed-term: The funds for this post are available for 12 months in the first instance.

Once an offer of employment has been accepted, the successful candidate will be required to undergo a health assessment and a standard Disclosure and Barring Service check. This appointment also requires a Research Passport application.

To apply online for this vacancy and to view further information about the role, please click on the apply button above.

Please ensure that you outline how you match the criteria for the post and why you are applying for this role on the online application form.

Please include details of your referees, including email address and phone number, one of which must be your most recent line manager.

Please quote reference ZE44341 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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