Applications are invited for a post-doctoral position in the Sir Peter Mansfield Imaging Center (SPMIC) & Precision Imaging Beacon, 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 novel quantitative brain connectivity mapping approaches, based on magnetic resonance imaging (MRI). Specifically, the post-holder will work on processing and analysis of diffusion MRI of the brain through Bayesian inference frameworks aiming for optimal uncertainty quantification approaches in tractography and connectivity. Within this context, the post-holder will also work with collaborators at the University of Minnesota (Centre for Magnetic Resonance Research (CMRR)) to evaluate diffusion MRI denoising approaches.
The successful applicant will be a member of the computational neuroimaging group (https://conilab.nottingham.ac.uk), led by Professor Stam Sotiropoulos. The team has 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-recognized Sir Peter Mansfield Imaging Center (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 or equivalent in relevant computational domain, such as engineering, physics, mathematics, statistics, neuroscience, or the equivalent in professional qualifications and experience in research area OR be close to completion of a PhD in a relevant computational domain. Skills in computer programming (especially Python or C++ or Matlab) and scientific computing are essential; together with knowledge in image analysis/processing. Experience in methods for specifically analyzing neuroimaging data is also essential. Machine learning/artificial intelligence skills would be a plus.
This is a full-time (36.25 hours), fixed term post for 18 months. Employment could begin from November 2022 and there is some flexibility in start date, however the successful candidate must be in post by 31st January 2023.
Informal inquiries may be addressed to Prof. Stam 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 dependents accompanying you to the UK. For more information please see our webpage on Financial support for visas and the immigration health surcharge.