Description Grade UE07: £40,247 - £47,874 per annum College of Medicine and Veterinary Medicine / Edinburgh Medical School: Biomedical Sciences, Centre for Discovery Brain Sciences Full time: 35 hours per week Fixed term: For 18 months The Opportunity: Precise electrical signalling at a millisecond time scale is critical for healthy functioning of the brain. Future advances in understanding functions and disorders of the brain will require new tools to resolve fast electrical signals in identified cells in freely moving mouse models. Recently developed fluorescent indicators enable electrical signals to be observed with microscopes. However, because current microscopes able to do this are bulky, they can only be used with mice that are restrained, which severely limits their usefulness. To address this, we have been developing miniature microscopes that by incorporating novel imaging sensors are capable of ultra-high frame rate imaging of the electrical activity of populations of neurons in freely moving mice. The next phase of the project will be to 1) validate ultra-fast imaging through single cell electrophysiological recordings in vivo to provide important “ground truth” data and 2) test the technologies in freely behaving mice. If you are interested in combination of neuroscience and technology development and would like to know more, you can contact me at Ian.Duguided.ac.uk or DM me on BlueSky ianduguid.bsky.social. The salary for this post is £40,247 - £47,874 per annum. Your skills and attributes for success: A PhD in Neuroscience or related subject. Experience in quantitative analysis of rodent behaviour. Experience in In vivo electrophysiology and/or 2-photon imaging. Analysis of electrophysiology and/or imaging timeseries data. Rodent microneurosurgery. Demonstrable fluency in the Python (or related) programming language. Click to view a copy of the full job description (opens new browser tab) As a valued member of our team, you can expect: Joining a multi-disciplinary collaborative team of engineers, imaging technology developers and system neuroscientists to develop, implement and validate ultra-fast frame rate cameras for in vivo imaging of neural activity. We promote a team-based approach to science that draws on expertise from the School of Engineering ( https://eng.ed.ac.uk ), Centre for Discovery Brain Sciences ( https://discovery-brain-sciences.ed.ac.uk ) and Simons Initiative for the Developing Brain ( https://sidb.org.uk/ ) at The University of Edinburgh. A competitive salary. An exciting, positive, creative, challenging and rewarding place to work. To be part of a diverse and vibrant international community. Comprehensive Staff Benefits, such as a generous holiday entitlement, a defined benefits pension scheme, staff discounts, family-friendly initiatives, and flexible work options. Check out the full list on our staff benefits page (opens in a new tab) and use our reward calculator to discover the total value of your pay and benefits. Championing equality, diversity and inclusion The University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter and we are also Stonewall Scotland Diversity Champions, actively promoting LGBT equality. Prior to any employment commencing with the University you will be required to evidence your right to work in the UK. Further information is available on our right to work webpages (opens new browser tab). The University is able to sponsor the employment of international workers in this role. If successful, an international applicant requiring sponsorship to work in the UK will need to satisfy the UK Home Office’s English Language requirements and apply for and secure a Skilled Worker Visa. Key dates to note The closing date for applications is 18 March 2025. Unless stated otherwise the closing time for applications is 11:59 pm GMT. If you are applying outside the UK the closing time on our adverts automatically adjusts to your browsers local time zone. Interviews will be held: 2 – 4 weeks after the application closing date. Application Information Please ensure you include the following documents in your application: - CV - Letter of motivation - 2 letters of reference