|Salary:||£28,762 to £42,155 per annum, depending on skills and experience (minimum £32348 with relevant PhD). Salary progression beyond this scale is subject to performance|
|Placed On:||12th January 2023|
|Closes:||9th February 2023|
Applications are invited for a post-doctoral position in the Sir Peter Mansfield Imaging Centre (SPMIC), Mental Health and Clinical Neurosciences, School of Medicine at the University of Nottingham, UK. The post is funded by the European Research Council (ERC). You will be part of a team working towards developing quantitative brain connectivity mapping approaches, based on magnetic resonance imaging (MRI). The post holder will develop data-driven methods for learning latent generative distributions of multi-dimensional brain connectivity data (derived primarily from diffusion MRI) for establishing measurement reference standards for brain connections that can link the individual to the population (normative modelling). They will also devise/explore approaches to mitigate between-scanner effects that can confound MRI-derived features (harmonisation).
The successful applicant will be a member of the computational neuroimaging group (https://conilab.nottingham.ac.uk), led by Professor Stam Sotiropoulos. The team have an established track record in developing computational neuroimaging technologies for mapping the brain at a systems level and are active developers of FSL tools (https://www.fmrib.ox.ac.uk/fsl). The role holder will further join the existing inter-disciplinary and vibrant environment team of the internationally-recognised Sir Peter Mansfield Imaging Centre (www.nottingham.ac.uk/magres) and expected to benefit from collaboration opportunities with researchers and end-users within the Nottingham Biomedical Research Centre, the Precision Imaging Beacon and the Institute of Mental Health.
Successful applicants will be expected to hold a PhD in engineering, physics, computer science, statistics, neuroscience (or near to completion of their PhD) in a relevant computational domain. Skills in computer programming (especially Python or C++ or Matlab) and scientific computing are essential; together with machine learning/artificial intelligence skills. Experience in methods for specifically analysing neuroimaging data would be desirable.
The post is offered on a full time (36.25 hours per week), fixed term contract for 24 months. Employment could begin from February 2023, but there is some flexibility in start date.
Informal enquiries may be addressed to Stamatios Sotiropoulos, email STAMATIOS.SOTIROPOULOS@NOTTINGHAM.AC.UK. Please note that applications sent directly to this email address will not be accepted.
Our University is 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, see our Moving to Nottingham pages.
For successful international applicants, we provide financial support for your visa and the immigration health surcharge, plus an interest-free loan to help cover the cost of immigration-related expenses for any dependants accompanying you to the UK. For more information please see the our webpage on Financial support for visas and the immigration health surcharge.
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