Lectureship in Statistics - University College London
The Department of Statistical Science at University College London invites applications for a Lecturership in Statistics. The post holder will conduct research in a branch of probability or statistics related to inverse problems, contribute to the Department's teaching programme and provide and supervise research projects for both undergraduate and postgraduate students. The vacancy is part of a UCL-wide initiative in inverse problems covering mathematical, computational and statistical approaches to inverse problems, as well as the application of these methodologies.
The successful candidate should hold, or be about to submit, a PhD (or equivalent qualification) in Statistics or a closely related discipline. They will possess a high research profile which includes a track record of international research excellence and publishing in mathematics, including aspects of inverse problems such as, for example, errors-in-measurement, deconvolution and regularization. The appointee should have the ability to construct and deliver lecture courses on topics relevant to the needs of the Department and possess excellent interpersonal, oral and written communication skills.
The post is available from June 2013. Salary (inclusive of London allowance) will be Grade 7 36,064-39,132GBP per annum or Grade 8 40,216-£47,441GBP per annum. Appointments at either grade currently receive an additional market supplement of 7,000GBP per annum. For an appointment to be made at the higher salary grade (Grade 8), please refer to the specific criteria given within the person specification.
Further particulars including a job description and person specification for the post can be accessed at http://www.ucl.ac.uk/statistics/department/jobs. If you wish to discuss the post informally please contact the Head of Department, Professor Tom Fearn, email: firstname.lastname@example.org, tel: +44 (0)20 7679 1873. For any queries regarding the application process please contact Dr Russell Evans, email: email@example.com, tel: +44 (0)20 7679 8311.