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Research Assistant/Associate X2 (Fixed Term) in Machine Learning for Precision Mental Health

2 x post-doctoral Research Associate or Assistant positions in Machine Learning for Precision Mental Health are available to work with Prof Zoe Kourtzi at the Adaptive Brain Lab, University of Cambridge, UK ( ) and Prof Carola Schönlieb at the Cambridge Image Analysis Group, Department of Applied Mathematics and Theoretical Physics, University of Cambridge, UK.

The positions will focus on the development and implementation of state-of-the-art machine learning approaches and image analysis techniques for early diagnosis of mental health disorders (e.g. dementia, mood-related disorders). The research will involve mining biological (brain imaging, genetic) and cognitive data from large-scale cohort studies with advanced machine learning methods to determine markers for early disease diagnosis. The aim of the research is to develop biologically-inspired artificial systems for precision mental health by bringing together expertise in machine learning, data science, neuroscience, and clinical practice.

The successful applicants will receive multi-disciplinary research training at the interface between machine learning, and clinical neurology and will work in collaboration with The Cambridge Centre for Mathematical Imaging in Healthcare, and the Alan Turing Institute, the UK's national Institute for Artificial Intelligence and Data Science and AstraZeneca's Data Science and Neuroscience teams.

Applicants should have a PhD (for Research Associate) or Masters and/or First Degree (for Research Assistant), together with a strong academic track record, in a relevant area (e.g., Mathematics, Computer Science, Engineering, Biostatistics, Neuroscience, Medicine). Programming skills are highly desirable and experience with machine learning, data science, biostatistics, or clinical neuroscience/neurology are highly beneficial. Above all, they will demonstrate enthusiasm to contribute new knowledge, openness to learn new approaches and willingness to contribute to a multidisciplinary team across sectors (academia, industry).

Fixed-term: The funds for these posts are available for 1 year in the first instance, with potential for extension (up to 4 years) dependent on funding.

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

Informal enquiries should be directed to Prof Zoe Kourtzi ( ), Prof Carola Schönlieb ( )

Please note the closing date for applications is 1 October 2020. Applications received after this time will not be considered.

Information about the Department and the research interests of members of staff can be found at .

Please quote reference PJ23944 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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Research Assistant/Associate X2 (Fixed Term) in Machine Learning for Precision Mental Health

Cambridge, UK
Full time, Contract

Published on 10 Mar 2022

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