Connectionists: Postdoctoral and predoctoral positions in computational and experimental neuroscience in London

[Harris, Kenneth]

Dear Connectionists,

I would like to advertise three open positions at the interface of computational and experimental neuroscience, working with Profs. Kenneth Harris and Matteo Carandini. Two are postdoctoral jobs, and one is for a software developer (no PhD required).

The closing date for all positions is August 11 2016. For more details on the lab, please see https://www.ucl.ac.uk/cortexlab.

Position 1. Postdoc: computational analysis of neural circuits
Modern experimental methods allow for simultaneous recording of thousands of neurons. These methods provide an unprecedented opportunity to study how neuronal populations process information. However, turning this data into concrete conclusions about brain function raises a twofold challenge. First, statistical methods required to characterize, visualize, and test hypotheses about neural data must be developed; second, the data sets involved are so large that they require advanced computational techniques for their efficient processing. We are seeking a postdoctoral scientist to study population coding and circuit function in cortex, by working with data from large-scale electrophysiological and optical recordings. This position would suit an individual with strong quantitative skills together with good knowledge of neurobiology. Applicants should have a PhD or equivalent in neuroscience, computer science, mathematics, physics, engineering, or a similar field.

To apply, go to http://www.ucl.ac.uk/hr/jobs, click "Current employment opportunities at UCL" and enter Ref No 1563741.

Position 2. Research assistant: software development
It is now possible to record the activity of thousands of cells simultaneously from the living brain, but using this information to understand how the brain processes information presents tremendous challenges of "big data" processing. The data sets collected are large, complex, and multimodal, consisting of petabytes, and spanning multiple formats arising from different experimental techniques. The successful applicant will join a team developing software systems for organization and analysis of large datasets recorded in our neurophysiology lab. Once established, these systems will be shared with the worldwide neuroscience community. The applicant should have an Honors degree in computer science, engineering, mathematics, physics, neuroscience or related discipline. Outstanding programming ability in Python, MATLAB or C++ is essential, as is knowledge of version control systems (eg git). Knowledge of image processing theory, signal processing theory, or machine learning is desirable, as is knowledge of web programming (JS, and REST APIs) and relational databases.

To apply, go to http://www.ucl.ac.uk/hr/jobs, click "Current employment opportunities at UCL" and enter Ref No 1563752.


Position 3. Postdoc: experimental neurophysiology
Developments in electrophysiology, microscopy, and genetics now make it possible to measure the activity of thousands of neurons simultaneously, while identifying and controlling specific cell classes in real time. Combining these experimental technologies with large-scale informatics and computational analysis provides a tremendous tool to understand the function of neuronal circuits. We are seeking a postdoctoral scientist to apply these tools to study network activity during a visual discrimination task in behaving subjects. This project involves integrating multiple techniques currently in use in our lab including large-scale electrophysiological recordings, optogenetics, two-photon microscopy, wide-field imaging, in situ sequencing, and behavioral paradigms such as 2AFC and virtual reality. This position would suit a candidate with a PhD in experimental neurobiology, engineering, or experimental physics.

To apply, go to http://www.ucl.ac.uk/hr/jobs, click "Current employment opportunities at UCL" and enter Ref No 1563759.

All the best,
Kenneth.

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Kenneth D. Harris
Professor of Quantitative Neuroscience
Institute of Neurology, Department of Neuroscience, Physiology, and Pharmacology
University College London
21 University Street
London WC1E 6DE
Phone: +44 (0) 20 3108 2410

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