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<p>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 (<a href="http://www.damtp.cam.ac.uk/research/cia/" title="Unmangled
Microsoft Safelink">www.damtp.cam.ac.uk/research/cia</a>)
Department of Applied Mathematics and Theoretical Physics, and
Prof Zoe Kourtzi at the Adaptive Brain Lab (<a href="http://www.abg.psychol.cam.ac.uk/" title="Unmangled
Microsoft Safelink" class="moz-txt-link-freetext">http://www.abg.psychol.cam.ac.uk</a>)
University of Cambridge.</p>
<p>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.<br>
<br>
<span>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.</span><br>
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Application deadline: 18th of June 2023<br>
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For more information please visit <a href="https://www.jobs.cam.ac.uk/job/40947/" title="Unmangled
Microsoft Safelink">www.jobs.cam.ac.uk/job/40947</a> </p>
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Carola Schoenlieb<br>
DAMTP, University of Cambridge<br>
Cambridge<br>
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