[Job-offers-cs] Research Associate in Machine Learning for Brain and Mental Health in Cambridge, UK

[Pekka Orponen]

Applications are invited for a Research Associate position in Machine 
Learning for Brain and Mental Health to work with Prof Carola Bibiane 
Schönlieb in the Cambridge Image Analysis Group 
(www.damtp.cam.ac.uk/research/cia 
<http://www.damtp.cam.ac.uk/research/cia/>) Department of Applied 
Mathematics and Theoretical Physics, and Prof Zoe Kourtzi at the 
Adaptive Brain Lab (http://www.abg.psychol.cam.ac.uk) University of 
Cambridge.

The position will focus on the development and implementation of 
state-of-the-art machine learning and image analysis techniques for the 
early diagnosis of mental health disorders (e.g. dementia, mood-related 
disorders). The research aims to develop biologically-inspired 
artificial systems for precision brain and mental health by bringing 
together expertise in machine learning, data science, neuroscience, and 
clinical practice.

The successful candidate will have or about to be awarded a PhD in a 
relevant area (e.g. Mathematics, Computer Science, Engineering, 
Biostatistics, Neuroscience, Medicine), together with a strong academic 
track record. Programming skills are highly desirable and experience 
with machine learning, data science, medical image analysis, 
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 academia and industry.

Application deadline: 18th of June 2023

For more information please visit www.jobs.cam.ac.uk/job/40947 
<https://www.jobs.cam.ac.uk/job/40947/>



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Carola Schoenlieb
DAMTP, University of Cambridge
Cambridge
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