Research Fellow in Neuroimage Analysis & Brain Connectivity Mapping (Fixed-Term)

University of Nottingham - Clinical Neuroscience

Applications are invited for the above post in the Sir Peter Mansfield Imaging Centre & Radiological Sciences, School of Medicine at the University of Nottingham.

The post is funded by the Nottingham NIHR Biomedical Research Centre (BRC), a new interdisciplinary translational partnership between the University of Nottingham and the Nottingham University Hospital Trusts. The transformational £23.6 million government funding will boost our pioneering work into new treatments and diagnostics across a wide range of health problems. The six research themes include Hearing, Gastrointestinal & Liver, Respiratory, Musculoskeletal disorders, Mental Health, and cross-cutting Magnetic Resonance Imaging. The centre holds a substantial portfolio of MRI research studies to develop and apply novel diagnostic, prognostic, and mechanistic biomarkers.

The successful applicant will be part of a team of interdisciplinary experts from the Sir Peter Mansfield Imaging Centre, whose main objective is to co-ordinate and drive the development and validation of innovative imaging tools, protocols, and study designs for experimental medicine and mechanistic evaluation of efficacy of new interventions.

The post will be particularly well suited for an imaging scientist with interests and experience in neuroimage analysis. While a broad range of MRI methods and disease applications are covered by the BRC, the particular post will develop methodology and automated pipelines for multimodal brain connectivity estimation and microstructure mapping. The aim is to provide tools for network modelling of the brain, analysing big patient cohorts and to subsequently explore novel physiological and mechanistic imaging biomarkers for mental health disorders and potentially phenotyping of disease subtypes.

Successful applicants will be expected to hold a BSc degree in Physics, Engineering, Computer Sciences, or Neurosciences, and a PhD preferably in medical image/neuroimage analysis; have a thorough understanding of MRI data acquisition and sources of artefacts; and have programming/computational skills. Experience in estimating brain connectivity and/or microstructure from one or more MRI modalities (structural/diffusion/functional MRI) is desirable but not essential.

This full-time post is fixed-term for a period of 2.5 years.

Informal enquiries may be addressed to Amanda Bamford (email amanda.bamford@nottingham.ac.uk). Please note that applications sent directly to this email address will not be accepted.

Further details:

The University of Nottingham is an equal opportunities employer and welcomes applications from all sections of the community.

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Midlands of England