Research Associate in Machine Learning for Brain and Mental Health (Fixed
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, Department of Applied Mathematics and
Theoretical Physics, and Prof Zoe Kourtzi at the Adaptive Brain Lab
(https:// 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.
Duties include developing and conducting individual and collaborative research
objectives, proposals and projects. The role holder will be expected to plan
and manage their own research and administration, with guidance if required,
and to assist in the preparation of proposals and applications to external
bodies. You must be able to communicate material of a technical nature and be
able to build internal and external contacts. You may be asked to assist in
the supervision of student projects, the development of student research
skills, provide instruction or plan/deliver seminars relating to the research
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
Limit of tenure: 1 year (fixed term) in the first instance, with a potential
extension up to 3 years.
Click the 'Apply' button below to register an account with our recruitment
system (if you have not already) and apply online.
Informal inquiries can be made by contacting LE28996@maths.cam.ac.uk or
Professor Zoe Kourtzi email@example.com.
Please indicate the contact details of two academic referees on the online
application form and upload a full curriculum vitae and a description of your
recent research (not to exceed three pages). Please ensure that at least one
of your referees is contactable at any time during the selection process, and
is made aware that they will be contacted by the Mathematics HR Office
Administrator to request that they upload a reference for you to our Web
Recruitment System; and please encourage them to do so promptly.
Please quote reference LE28996 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. We particularly welcome
applications from women and/or candidates from a BME background for this
vacancy as they are currently under-represented at this level in our
The University has a responsibility to ensure that all employees are eligible
to live and work in the UK.
Department of Applied Mathematics and Theoretical Physics
22 November 2021
3 January 2022