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Research Associate in AI Brain Sciences (Fixed Term)

Closing date: 
Sunday, 26 March 2023

Department of Psychology

A post-doctoral Research Associate position in AI for Brain Sciences is available to work with Prof Zoe Kourtzi at the Adaptive Brain Lab (

The position will focus on developing and translating AI-guided tools for a) understanding brain processes underlying cognition in health and disease, b) early detection of brain and mental health disorders to inform clinical practice (healthcare, clinical trials).

The research will involve working on research cohort and clinical data, developing and applying machine learning models to synthesise biological (brain imaging, genetic) and cognitive, epidemiological data, validating AI-guided tools in clinical data, translating these tools for adoption in healthcare and industry settings.

The research activity is at the core of a Wellcome Trust funded Innovator Award that brings together multidisciplinary experts in neuroscience (Prof Zoe Kourtzi, Adaptive Brain Lab), machine learning (Prof Carola Sch√∂nlieb, Department of Applied Maths and Theoretical Physics, Cambridge Image Analysis (CIA) Group), clinical practice (Dr Tim Rittman, Clinical Neuroscience), clinical informatics (Prof Guy Williams, Clinical Neuroscience) with healthcare innovation (Eastern AHSN) and pharmaceutical industry partners (AstraZeneca). Our work on early prediction of dementia has already gathered significant media interest (e.g. and has potential to deliver transformative applications in clinical practice.

The successful applicant will receive multi-disciplinary research training at the interface between machine learning, neuroscience, and clinical translation. They will work with teams at the Alan Turing Institute (, the EDoN Initiative ( spearheaded by Alzheimer's Research UK, b) the Data Science and Neuroscience teams at AstraZeneca.

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The Cambridge Centre for Data-Driven Discovery (C2D3) brings together researchers and expertise from across the academic departments and industry to drive research into the analysis, understanding and use of data science and AI. C2D3 is an Interdisciplinary Research Centre at the University of Cambridge.

  • Supports and connects the growing data science and AI research community 
  • Builds research capacity in data science and AI to tackle complex issues 
  • Drives new research challenges through collaborative research projects 
  • Promotes and provides opportunities for knowledge transfer 
  • Identifies and provides training courses for students, academics, industry and the third sector 
  • Acts as a gateway for external organisations 

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