School of Mathematical Sciences

Lectureship in Computational Statistics menu

Lectureship in Computational Statistics

Salary: 
£39,745 - £49,486
Closing date: 
Sun, 13/03/2016

About us

Queen Mary is one of London and the UK’s leading research-focused universities. With over 20,000 students, it is amongst the largest of the colleges of the University of London. Queen Mary’s 4,000 staff teach and research across a wide range of subjects in Science and Engineering, the Humanities, Social Sciences and Laws, and Medicine and Dentistry.

The School of Mathematical Sciences has an exceptionally strong research presence across the spectrum of areas within Pure and Applied Mathematics, and is currently organised into six research groups, namely: Algebra, Combinatorics, Complex Systems and Networks, Dynamical Systems and Statistical Physics, Geometry and Analysis, and Probability and Applications. The School also has large and popular undergraduate and graduate programmes.

It is a strategic aim of the School to expand its research profile in the direction of Computational Mathematics. To attain this goal, the School is committing considerable resources to the development of a strong group of academics and researchers, at different stages of their careers, with a core interest in numerical and applied aspects of Mathematics. Within this framework, three new positions, with broad yet complementary scopes, are simultaneously opened.

About the role

Applications are invited for a Lectureship in Computational Statistics. We are seeking to appoint in an area related to advanced probabilistic methods for data processing and/or inference in complex models. This includes Monte Carlo sampling and integration (MCMC, importance sampling, random number generation, etc.), quasi-Monte Carlo and other (semi)deterministic numerical techniques, machine learning, Bayesian nonparametrics, random networks and closely related fields.

The successful candidate will have an excellent research profile in computational statistics and will be expected to contribute to the development of a research platform in computational mathematics in the School. A proven track record of applying advanced statistical methods to address problems or practical significance, as well as established industrial contacts or other potential impact outside of the university environment, may be seen as an advantage.

The successful candidate will also have the ability and flexibility to teach across a range of topics related to computational aspects of Mathematics and Statistics at the undergraduate and postgraduate levels. This includes, but is not limited to, the M.Sci. in Financial Mathematics and a planned M.Sc. programme in Computational Mathematics.

Outstanding candidates in the general area of computational statistics will also be considered, including those whose research background does not tightly match the description above.

For further details of the role and selection criteria please refer to the job specification attached.

The School and Athena SWAN Charter for Women in Science

The School holds a departmental Bronze Athena SWAN Award and is a registered supporter of the LMS Good Practice scheme. We are committed to the equality of opportunities and to advancing women’s careers. We have policies to support staff returning from long-term absence, for flexible arrangements for staff with parental responsibilities and for child-care support for the attendance of conferences. As part of the School’s commitment to the Athena SWAN and the LMS Good Practice principles we strongly encourage applications from women.

Please visit www.maths.qmul.ac.uk for information about the School and www.maths.qmul.ac.uk/equality/athena-swan for our family friendly policies and parental leave.

Pay & Benefits

The post is full-time and permanent. Starting salary will be in the range £39,745 - £49,486, inclusive of London Allowance. Benefits include 30 days annual leave, childcare vouchers scheme, defined benefit pension scheme and interest free season ticket loan. The successful candidate will be expected to start the post on September 1, 2016, or as soon as possible thereafter.

Candidates must be able to demonstrate their eligibility to work in the UK in accordance with the Immigration, Asylum and Nationality Act 2006. Where required this may include entry clearance or continued leave to remain under the Points Based Immigration Scheme.

Further information

Informal enquiries may be made to Dr. Joaquin Miguez (j.miguez@qmul.ac.uk).

To apply, please visit the Human Resources website on http://www.jobs.qmul.ac.uk/  and search for reference QMUL7556.

Please ensure you include with your application a curriculum vitae, a list of publications, a teaching statement and a research statement.

The closing date for applications is Sunday 13th March 2016.

Interviews are expected to be held on 19th and 20th of April 2016.

Valuing Diversity & Committed to Equality