The Gatsby Computational Neuroscience Unit at University College London invites applications for an academic position in M achine Learning or Statistics at the rank of Lecturer, Associate Professor or Professor, the appointment to be made at a rank appropriate to the experience and international standing of the successful candidate.
Established in 1998 through a generous grant from the Gatsby Charitable Foundation, the Gatsby Unit has been a pioneering centre for both machine learning and theoretical neuroscience. We have core funding to support six faculty positions, associated postdocs and PhD students, and computational resources. Faculty may raise additional funds through grants from national and international funding bodies and charities. We have no undergraduate programme, so only graduate-level teaching and supervision is required.
We especially seek candidates whose work addresses fundamental problems in the areas of probabilistic or statistical machine learning. However, Unit faculty have freedom to pursue and develop their own lines of research subject to the success of their research endeavours and compatibility with the overall needs and research aims of the Unit. Collaboration within and outside the Unit is essential and supported through the provision of a generous annual travel allowance to support conference, workshop and collaborative research visits.
The Unit shares a purpose-built home with the Sainsbury Wellcome Centre for Neural Circuits and Behaviour, near the UCL Gower Street campus. We are close to cognate groups in the departments of Computer Science and Statistical Science, as well as the Alan Turing Institute.
The Unit offers internationally competitive salaries.
A very strong analytical background in machine learning, mathematics, physics, computer science, statistics and/or engineering. Faculty members are expected to have a detailed knowledge and understanding of the literature in their appointed research fields, be proficient in its application and have a ready ability to acquire and absorb new information, methods and techniques in the service of research goals.
Applicants should apply online. To access further details about the position and how to apply please click on the ‘Apply’ button above.
For informal enquiries about the role, please contact Maneesh Sahani (firstname.lastname@example.org) or Arthur Gretton (email@example.com).
For any other enquiries please contact Mike Sainsbury ( firstname.lastname@example.org ).
Latest time for the submission of applications: 23.59.
We particularly welcome female applicants and those from an ethnic minority, as they are under-represented within UCL at this level.
UCL Taking Action for Equality
We will consider applications to work on a part-time, flexible and job share basis wherever possible.