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Research associate (part time, fixed term)

Cambridge
University of Cambridge
Research associate
Posted: 13 October
Offer description

Fixed-term: The funds for this post are available for 2 years in the first instance.

This appointment requires a Research Passport application.

Applications are invited for a post doctoral research associate to work with Dr Timothy Rittman on the implementation of machine learning for understanding and clinical utility. The role will involve the collation and curation of datasets of neurodegenerative disorders, using these datasets to build models of neurodegenerative tauopathies, and building a framework for the development and implementation of machine learning models.

The applicant will join a friendly and hard-working lab group, with a shared vision to improve the understanding and management of neurodegenerative disorders using big data methods and machine learning approaches.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

Applicants must have (or be close to obtaining) a PhD.

Appointment at Research Associate level is dependent on having a PhD. Those who have submitted but not yet received their PhD will initially be appointed as a Research Assistant (Grade 5, Point 38 £34,132) moving to Research Associate (Grade 7) upon confirmation of your PhD award.

Please ensure that you upload a covering letter and CV in the Upload section of the online application. The covering letter should outline how you match the criteria for the post and why you are applying for this role. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.

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

Closing date: 8th August 2025

Interview date: 14th August 2025

Please quote reference ZE46770 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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