AVAILABLE POSITIONS
Research Opportunities
PHD STUDENTSHIP
A fully funded, 3 year PhD position is available on a project entitled "Mapping the wires using neural activity". The wiring between neurons, the connectome, defines their activity. But current technology does not allow the simultaneous recording and tracing of the connections between neurons. To solve this problem, this project will develop computational techniques to accurately infer wiring between neurons from the next generation of imaging techniques that directly record neuron voltages
To apply, in the first instance please send via email to Professor Humphries a CV and a cover letter outlining how your skills and interests fit the studentship and project
Deadline: 27th May 2019
INDEPENDENT RESEARCH FELLOW IN NEURAL DATA SCIENCE
The University of Nottingham is investing in a major new research capacity in computational neuroscience. As part of this investment, we seek applications for a 2-year independent fellowship in Neural Data Science. The position is ideal for researchers with a clear vision to start their own research programme in a supportive, multi-disciplinary environment.
We seek candidates positioned to join us in advancing the field of neural data science. This newly emerging discipline develops and uses the full gamut of modern computational techniques on neural data, to answer scientific questions about the brain (for more, see our guide to neural data science). Candidates should be able to demonstrate a track record of quality research, and be able to independently manage their research.
The Fellow will be attached to the Humphries's lab for mentoring and scientific guidance, but work independently.
Please send informal enquiries to Professor Mark Humphries.
POSTDOCTORAL RESEARCHER (3 YEARS)
We seek a postdoctoral research fellow to join the Humphries’ group on the MRC-funded project “Uncovering the neural basis of movement transitions”. The position has funding for 3 years.
In this project, our aim is to test the overarching hypothesis that movement transitions are encoded by the same neural population reconfiguring its joint activity, for both rhythmic and discrete movements. We will apply our algorithms for extracting neural population dynamics to newly-available population recordings during rhythmic movement transitions in Aplysia and discrete arm movement transitions in monkeys.
Please send informal enquiries to Professor Mark Humphries.
For full details of the role and the candidate profile please see: [to come]
