2024 BNA Scholars announced
15th March 2024
Salary: £27,511 to £40,322 per annum, (pro rata if applicable) depending on skills and experience (minimum £30942 with relevant PhD). Salary progression beyond this scale is subject to performance
Applications are invited for the above post based in the Medical School at the Queen’s Medical Centre, Nottingham, NG7 2UH.
The successful candidate will join an established team, led by Professor Dorothee Auer, in order to provide machine learning expertise in radiomics/medical image analysis and to develop the methodology in the NIHR Nottingham BRC and the Precision Imaging Beacon.
Precision medicine necessitates understanding complex high dimensional data including imaging. Building and validating models that predict progression of disease, disease type, or response to treatment is fundamental to precision medicine and will require use of advanced technologies. Such models will enable image informed clinical trials and best treatment for individuals. In addition to this, imaging-based trials demand high quality data, and machine learning for quality control will be used to maximise data integrity and trial success.
The purpose of this role will be to plan and conduct work using machine learning and statistical techniques appropriate to the aims of precision medicine, and will be responsible for writing up work for publication.
Candidates should have a PhD or equivalent in computer science and experience in computational medical image analysis. Candidates should also have experience of predictive model building and validation using machine learning and of radiomics. Excellent programming skills and a good understanding of statistics are also essential as is the ability to communicate complex information with clarity and collaborate with others. Programming in Matlab and experience in machine learning tools such as H20 would be an advantage.
This post will be offered on a fixed-term contract until the 31 March 2022. This is a full-time (36.25 hours per week) post, however applications are also welcome from candidates wishing to work part-time (minimum 29 hours per week). Please specify in your application if you wish to work part time and the number of preferred hours. Job share arrangements may be considered.
For more information and to apply, please click here.
Our University has always been a supportive, inclusive, caring and positive community. We warmly welcome those of different cultures, ethnicities and beliefs – indeed this very diversity is vital to our success, it is fundamental to our values and enriches life on campus. We welcome applications from UK, Europe and from across the globe. For more information on the support we offer our international colleagues, visit; https://www.nottingham.ac.uk/jobs/applyingfromoverseas/index2.aspx
Informal enquiries may be addressed to Dr Christopher Tench, Senior Medical Statistician, School of Medicine at the University of Nottingham. Tel: +44 (0) 115 823 1419 or email: christopher.tench@nottingham.ac.uk Please note that applications sent directly to this email address will not be accepted.