Research Assistant/Associate in AI and Neuroinformatics (Fixed Term)

A Research Assistant or  Research Associate (post-doc) position 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).

The position will focus on developing AI-guided tools for understanding brain processes and improving early detection of brain and mental health disorders. This position is well-suited for candidates eager to develop and translate theoretical AI models into practical solutions that can be deployed in clinical settings.

The successful candidate will engage in developing AI models to synthesise and analyse diverse data sets, including brain imaging, genetic, cognitive, and epidemiological data. The research activity is at the core of a Wellcome Trust funded Innovator Award that brings together multidisciplinary experts in neuroscience, machine learning, clinical practice, clinical informatics with healthcare innovation (and pharmaceutical industry partners (AstraZeneca).

Our work on early prediction of dementia has already gathered significant media interest (e.g. https://www.bbc.co.uk/news/health-57934589) and has potential to deliver transformative applications in clinical practice.

You will receive multi-disciplinary research training at the interface of machine learning, neuroscience, and clinical translation. You will be an integrated member of the AI-deas Hub for brain and mental health (https://www.cam.ac.uk/stories/AI-deas-launch). The Hub fosters collaborations between mathematics, statistics, computer science, medicine and industry (e.g. AstraZeneca) aiming to develop analytics tools for healthcare. You will work with teams at the Alan Turing Institute (https://www.turing.ac.uk), and the Data Science and Neuroscience teams at AstraZeneca.

Desired Skills and Experience:

Applicants should have a MRes or PhD (or have submitted by the time of appointment) together with a strong academic track record, in a relevant area: Mathematics, Engineering, Physics, Computer Science, Data Science, Biostatistics, Neuroscience, or Medicine.

A strong academic track record and programming skills are essential.

Experience with machine learning, data science, computational neuroscience, biostatistics, or clinical neuroscience are highly desirable.

Strong mathematical skills, knowledge of neural ODEs/SDEs or recurrent neural networks, and a focus on explainable machine learning models, would bring added value to the position.

The successful applicant should demonstrate enthusiasm for generating new knowledge, openness to learning new approaches, and ability to contribute to a multidisciplinary team across sectors (academia, healthcare, industry).

Fixed-term: The funds for this post are available for 24 months in the first instance.

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

For informal inquiries, please contact Professor Zoe Kourtzi at zk240@cam.ac.uk

Closing Date: Tuesday 25th June 2024 at 12 Midnight

Interviews: To be confirmed

Please quote reference PJ41924 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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