[FieldTrip] Job Opportunity: Postdoctoral Neuroscientist MRC Brain Networks Dynamics Unit- University of Oxford *DEADLINE EXTENDED*

Timothy West timothy.west at ndcn.ox.ac.uk
Mon Feb 28 13:29:48 CET 2022

The MRC BNDU is seeking to appoint a Postdoctoral Neuroscientist who will analyse recordings acquired using wearable sensors from a large cohort of Parkinson's disease patients using state-of-the art machine learning and signal processing techniques, as part of a research project that is designed to elucidate biomarkers for disease progression.

This post offers exciting opportunities for creative neuroscientists/bioinformaticians who enjoy collaborative, multidisciplinary work. In addition to having a PhD (or M.D.) or equivalent qualification in a relevant discipline (either held or submitted at the time of appointment), candidates should have a promising track record of original research in their field of research (neuroscience/bioinformatics). Candidates are also expected to have expertise in one or more of the following: 1) machine learning; 2) analysis of neuroimaging / electrophysiological / behavioural data using standard signal processing techniques; 3) computational modelling of brain circuits. In addition, candidates should provide evidence of creative and critical thinking as applied to the development and execution of a cohesive programme of research. A background of research in Parkinson's disease is desirable.

The post holder will be part of the Cagnan Group based at the MRC BNDU. The Group has a strong track record in selectively and dynamically modulating brain circuits in order to achieve symptom suppression. The proposed research will take full advantage of the intellectual environment, capital equipment, technical expertise and excellent infrastructure in place at the MRC BNDU.

This is a full-time fixed-term post with an end date of 1st May 2024. This post is a University Grade 7 (07S) position with a starting salary of between £33,309 and £40,927 per annum. Owing to the nature of this position, any offer of employment with the University will be subject to a satisfactory security screening.

Informal enquiries can be addressed to Professor Hayriye Cagnan (hayriye.cagnan at ndcn.ox.ac.uk<mailto:hayriye.cagnan at ndcn.ox.ac.uk>)

Applications must be made via the University of Oxford's online recruitment system, using Vacancy ID 156089.

The closing date for applications for this post has been extended to 12 midday UK time on 14th March 2022.

Interviews will be held as soon as possible thereafter.

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