Postdoctoral Researcher in Brain Connectivity Modelling

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Health and Medical,Anatomy, Physiology and Pathology,Medical Technology,Mathematics and Statistics,Mathematics,Statistics,Computer Science,Computer Science,Software Engineering,Information Systems,Artificial Intelligence,Engineering and Technology,Other Engineering

Short info about job

Company: University of Oxford

Department: Nuffield Department of Clinical Neurosciences (NDCN) FMRIB, John Radcliffe Hospital

Salary: £31,076 to £38,183 per annum (Grade 7)

Hours: Full Time

Contract type: Fixed-Term/Contract

Type / Role: Academic or Research

Phone: +44-1454 8549530

Fax: +44-1540 8787658

E-mail: N\A


Detail information about job Postdoctoral Researcher in Brain Connectivity Modelling. Terms and conditions vacancy

You will be a member of the Analysis research group that forms part of the FMRIB Centre, which is a part of the Wellcome Centre for Integrative Neuroimaging and the University of Oxford. The FMRIB Centre Analysis Group conducts research in methods and modelling of brain imaging data, including functional MRI, diffusion MRI, structural MRI, EEG, and MEG data. The members of the Analysis group have developed the widely used FMRIB Software Library (FSL) package, which enables the methods created within FMRIB to have a worldwide impact on the neuroimaging community. The group also plays a major part in several large-scale projects, such as the Human Connectome Project and UK Biobank.

The primary focus of the role is to develop new methodologies for improving our estimate of brain functional and structural connectomes using principled, multi-modal approaches. Other responsibilities include cross-site data harmonisation and quality assessment of large, multimodal datasets. You will also be required to manage your own academic research and administrative activities. This involves small scale project management, to co-ordinate multiple aspects of work to meet deadlines.

The research requires experience in MRI-based neuroimaging acquisition and/or analysis, along with expertise in programming (Matlab, python, C++ and/or shell scripting are preferred). You should hold a PhD in a relevant quantitative subject (such as engineering, physics, mathematics, or statistics) or be near to completion, and have experience of processing and analysing large datasets. It is advantageous to have experience with the FSL software and/or MR physics and MRI analysis techniques. You would ideally have previous experience in developing novel methodology and/or using machine learning techniques.

For further details about this position contact Professor Steve Smith ([email protected]).

The post is full-time for a fixed-term contract until 31 July 2020 in the first instance.

Only applications received before 12.00 midday on Wednesday 6 September 2017 will be considered.

Interviews will be held as soon as possible thereafter.

Closing Date: 06-SEP-2017 12:00

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