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Associate Professorship of Biomedical Engineering (AI for Sports Medicine) Podium Institute

Salary

Associate Professor (Non-Tf): From £50,300 to £67,541 per annum plus additional benefits

Closing date

Feb 01, 2023 12:00PM

Description

The Department of Engineering Science intends to appoint an Associate Professor of Biomedical Engineering (AI for Sports Medicine) with effect from 1 April 2023, or as soon as possible thereafter.  This is one of four new academic appointments underpinning the recently established £25m Podium Analytics Institute in Youth Sports Medicine and Technology. You will be based at the Institute of Biomedical Engineering (OX3 7DQ) and will be offered a (non-tutorial) Fellowship at Kellogg College under arrangements described in the Job Description. For Associate Professors, the University salary ranges from £50,300 p.a. to £67,541 per annum. Holders of Full Professor title can be awarded further merit pay.  Additional benefits are outlined in the job description.  The appointment will be initially for five years at which point, upon completion of a successful review, the post-holder will be eligible for reappointment to the retiring age.

 

You will be expected to devote a significant proportion of your time to research in the field of AI for Sports Medicine and will benefit from reduced teaching and administrative duties for no less than the initial 5-year period of your appointment. You will also have access to substantial equipment, post-doctoral resource and funded studentships that form part of the Podium Institute budget. You will also have the opportunity to lead the Podium Institute and serve as its Director.

 

You will hold a doctorate in the general area of biomedical engineering, information engineering, computer science or a cognate discipline, and will work closely with the world-leading AI/Digital Health research cluster within the Institute. You will have a proven research track record of high-quality and translatable research at international level in the general area of artificial intelligence, statistical machine learning, data fusion and signal processing applied to biomedical problems, or in information engineering aspects of healthcare informatics. You will be able to work effectively and collaboratively across the Institute, Department and broader University, to establish and support major research programmes with applications to healthcare domains ranging from neurodegenerative disorders and cardiovascular disease to cancer and mental health. You will supervise research students and research assistants, and obtain external funding to enable development of new and independent research. You will contribute to the teaching of core undergraduate courses in the Department of Engineering Science, which may include lectures, taught classes, practical laboratories, and the supervision of undergraduate design and project work.

A job description, containing full details of the application procedure and duties, may be obtained below or by clicking ‘apply’.  The job ref is: DF22KEL/162580. Please quote this in all correspondence.  The closing date for applications is 12:00 noon on Wednesday 1 February. Interviews are expected to take place during week commencing 6 March 2023.

 

For queries about the post that are not answered in the job description, please contact Professor Constantin Coussios, Director of the Institute of Biomedical Engineering at constantin.coussios@eng.ox.ac.uk.

 

This is one of two academic positions currently being advertised in the general field of biomedical AI, the other being DF21KEL/156768. Candidates are encouraged to apply to both positions if they align with their research interests.  Due to Oxford's procedures, you need to apply separately for each post.

 

Applications are particularly welcome from women and black and minority ethnic candidates, who are under-represented in academic posts in Oxford. The University is an Equal Opportunities Employer.


Contact name

Professor Constantin Coussios

Contact email

constantin.coussios@eng.ox.ac.uk

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