|Salary:||£33,309 to £40,927|
|Placed On:||24th November 2021|
|Closes:||3rd January 2022|
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 (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.
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 area.
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.
Limit of tenure: 1 year (fixed term) in the first instance, with a potential extension up to 3 years.
To apply online for this vacancy and to view further information about the role, please visit :
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 Department.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.
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