(inclusive of London allowance)
GCNU & SWC seek to recruit an outstanding scientist with an interdisciplinary background working at the interface of machine learning and neuroscience or related areas.
We are looking for someone who will conduct creative and innovative research to deliver breakthroughs at the interface of the 2 fields that contribute to an algorithmic understanding of perception, action or learning. The successful applicant will have exciting research plans, and be keen to participate in collaborative and cooperative science.
The Research Group Leader will receive generous core funding, including salary and stipend support for research staff and students. Extensive high-performance computational resources are available in-house, with funds available for expansion if needed. If desired, support for experimental work will also be available, including equipment and customised laboratory space, supported by state-of-the-art facilities such as prototyping and fabrication, imaging, virology and histology platforms.
Teaching is limited to research-level postgraduate courses, with the opportunity to design components of the taught programme.
Salaries will be competitive and offered as appropriate to experience and achievement
The role will be funded for six years in the first instance.
More detailed information can be found in the Information for Candidates (PDF) at the bottom of this page.
To apply please click on the "Apply Now" button below.
Please complete the short online application form and upload your CV and a statement of your personal research interests, accomplishments and plans .
This is an open-ended advertisement but all applications received before 30 November 2019 will be reviewed together. If the position remains unfilled following this review, further rounds of application will be considered.
For a confidential discussion regarding the role, please contact Maneesh Sahani, Director GCNU (maneesh@gatsby.ucl.ac.uk) or Tom Mrsic-Flogel (t.mrsic-flogel@ucl.ac.uk), Director SWC
Any other queries relating to the vacancy or how to apply should be directed to Mike Sainsbury (m.sainsbury@ucl.ac.uk) +444 (0)20 3108 8102.
Please use these links to find out more about UCL working life including the benefits we offer and UCL Terms and Conditions related to this job.
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