Gatsby Computational Neuroscience Unit, UCL: Faculty Position in Machine Learning/Statistics

The Gatsby Computational Neuroscience Unit at UCL is looking to recruit a junior or senior level faculty in machine learning or statistics. We are especially interested in candidates whose work in these fields complements the Unit’s focus on probabilistic and statistical machine learning, or its wider interests in the brain.

Along with the statistical machine learning focus at Gatsby, led by Yee Whye Teh, UCL offers a rich environment across the breadth of the field. Activities in these areas are anchored by the new Centre for Computational Statistics and Machine Learning which is directed by John Shawe-Taylor, involving the departments of Computer Science (Mark Herbster; Massimiliano Pontil; David Barber), Statistics (Trevor Sweeting; Ricardo Silva) and Gatsby itself.

The Gatsby Unit was set up at UCL in 1998 as a research institute devoted to theoretical neuroscience and machine learning. We have core funding for five faculty and for associated postdocs and PhD students. PIs can raise additional funds through grants. We have no undergraduate programme, so only teaching and supervision of graduate-level Gatsby students is required. We have close ties with the UCL Departments of Computer Science and Statistics, with research departments within UCL’s School of Life and Medical Sciences, and with groups in Engineering and Physics (Zoubin Ghahramani, David MacKay) at Cambridge and beyond. We are located in a leafy haven in Queen Square, London.

The Unit offers internationally competitive salaries. The salary ranges are: Lecturer (grade 7) £32,458 – £35,469 per annum, (grade 8) £36,533 – £43,622 per annum. Senior Lecturer/Reader (Grade 9) £47,667- £52,086 per annum. Professor posts will be appointed on grade 10 with a minimum starting salary of £55,259 per annum – salary is negotiable on the professorial scale. London Allowance of £2,781 per annum is payable in addition to these salaries. A market supplement is available for exceptional candidates in line with international ranges.

Applications, consisting of a CV, a statement of research interests and accomplishments, a teaching statement and full contact details for three academic referees should be sent by e-mail to Rachel Howes: asstadmin ‘at’ Applicants are asked to provide standardised monitoring information by completing and returning the forms available at:

Applications must arrive no later than 5 January 2009.

For further information, please see; for informal enquiries, please contact Yee Whye Teh at ywteh ‘at’