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Research Associate/Fellow (Fixed term) (Two posts)
Computational Neuroimaging and Brain Connectivity Modelling
| Location: |
UK Other |
| Salary: |
£27,511 to £39,152
per annum, depending on skills and experience (minimum £30942 with relevant PhD).
|
| Closing Date: |
Tuesday 07 September 2021 |
| Interview Date: |
Friday 24 September 2021
|
| Reference: |
MED271821 |
Applications are invited for a post-doctoral position in the Sir Peter Mansfield Imaging Centre (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) through the 5-year ERC Consolidator Programme “NeuroMetrology”, awarded to Dr Stam Sotiropoulos. You will be part of a team of four researchers working towards the aims of this programme on developing novel quantitative brain connectivity mapping approaches, based on magnetic resonance imaging (MRI). Neuro-Metrology will increase accuracy, assess measurement tolerance, and develop reference measurement standards for connectivity estimation. Specifically, the programme aims are: a) To develop and validate novel multi-modal (diffusion and resting-state functional MRI) and cross-species (humans and non-human primates) neural connectivity frameworks, b) To develop and assess vendor-agnostic technologies for brain mapping that are harmonised and generalisable across different types of MRI scanners, c) To establish measurement reference standards for brain connections that can link the individual to the population (normative modelling).
The successful applicant will be a member of the computational neuroimaging group (https://spmic-uon.github.io/conilab), led by Associate 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). They have strong, long-standing collaborations with colleagues at the University of Oxford (Wellcome Centre for Integrative Neuroimaging (WIN-FMRIB)), University of Minnesota (Centre for Magnetic Resonance Research (CMRR)) and Yale University (Anticevic lab). The programme will actively build upon these collaborations. 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 (or be near to completion) of a PhD in a relevant computational domain, e.g. in Physics/Engineering/Mathematics/Computer Science or Neurosciences. 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 analysing neuroimaging data (diffusion and functional MRI)/connectivity mapping is desirable. Machine learning/artificial intelligence skills would be a plus.
Employment could begin from 1st October 2021 and there is some flexibility in start date. This position is available on a fixed term contract until 30/09/2024. Hours of work are full time (36.25 hours).
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.
Further details:
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