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Research Associate in Epilepsy Electrophysiology & MRI

The University of Manchester - School of Biological Sciences

Location: Manchester
Salary: £36,024 to £44,263 (depending on relevant experience)
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 28th February 2024
Closes: 12th March 2024
Job Ref: BMH-024847

Applications are invited for a Research Associate post in Epilepsy Electrophysiology and MRI within the Division of Neuroscience at the University of Manchester.

The Research Associate will undertake research using graphene-based transistor arrays capable of full bandwidth electrophysiological recordings. These devices will be implanted and used to monitor seizures, spreading depolarisations and neuronal activity  in vivo models of epilepsy. Working with partners at University College London, UK, and CNM-CSIC, Spain the graphene micro-transistor arrays will be optimised for use with MRI, including concurrent recording of electrographic signals during MRI. This project will involve determining whether electrographic biomarkers of seizure onset correlate with structural and functional abnormalities identified from MRI. You will be expected to contribute to the establishment and maintenance of CNS disease models (Epilepsy and Stroke) in collaboration with other investigators within the Division of Neuroscience at the University of Manchester (Prof Stuart Allan). You will be expected to implant neurophysiological devices capable of long-term monitoring of brain activity. You will be expected to perform detailed analysis from data rich electrophysiological recordings. You will be expected to perform MRI scans on rodents implanted with graphene micro-transistor arrays.

You should hold a PhD in neurophysiology, neuroscience, neurobiology, biophysics, neuropharmacology or equivalent. Experience with rodent in vivo CNS models (Epilepsy/Stroke),electrophysiological recordings of brain activity, and/or imaging is highly desirable. Previous experience in computer programming (Matlab/Python) or signal/image processing is highly desirable. Previous experience in experimental research using implantable devices, biomaterials or nanomaterials and evidence of a developing research publication track record is highly recommended.

"l candidates may be subject to pre-employment screening carried out on our behalf by a third party. The offer of employment will be dependent on the successful candidate passing that screening. Whilst you will be required to provide express consent at a later stage, by continuing with your application now you acknowledge that you are aware that such screening will take place, and agree to take part in the process.”

What you will get in return:

  • Fantastic market leading Pension scheme
  • Excellent employee health and wellbeing services including an Employee Assistance Programme
  • Exceptional starting annual leave entitlement, plus bank holidays
  • Additional paid closure over the Christmas period
  • Local and national discounts at a range of major retailers

As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status.  All appointments are made on merit.

Our University is positive about flexible working – you can find out more here

Hybrid working arrangements may be considered.

Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.

Any recruitment enquiries from recruitment agencies should be directed to People.Recruitment@manchester.ac.uk.

Any CV’s submitted by a recruitment agency will be considered a gift.

Please note this role is not eligible for sponsorship under the Skilled Worker route of the Points Based System.  Candidates will need to be able to demonstrate their right to work in the UK in order to be eligible to take up the post.

Enquiries about the vacancy, shortlisting and interviews:

Name: Robert Wykes

Email: rob.wykes@manchester.ac.uk 

or

Name: Dr Ben Dickie

Email: ben.dickie@manchester.ac.uk

General enquiries:

Email: People.recruitment@manchester.ac.uk

Technical support:

https://jobseekersupport.jobtrain.co.uk/support/home

This vacancy will close for applications at midnight on the closing date.

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