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 Science 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 Applied Mathematics (Complex Dynamics and Stochastic Processes). We are seeking to appoint in an area related to the modelling and quantitative analysis of complex processes and data. This is a broad scope, closely related to the emerging field of uncertainty quantification, which may encompass topics such as model validation and calibration, statistical inference, data assimilation and forecasting for systems described by stochastic dynamical models (ODEs, SPDEs, state space models, stochastic networks).
The successful candidate will have an excellent research profile in an area related to modelling and quantitative analysis of complex processes and data and will be expected to contribute to the development of a research platform in computational mathematics in the School. Proven ability of using advanced mathematical modelling and modern numerical methods to address problems of practical significance, especially those related to quantitative finance and/or complex networks, will be positively regarded. Industrial contacts or other potential impact outside of the university environment may also 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 at the undergraduate and postgraduate levels. This includes, but is not limited to, the M.Sci. in Financial Mathematics and a planned M.Sc. in Computational Mathematics.
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.
Informal enquiries may be made to Dr. Joaquin Miguez (email@example.com).
To apply, please visit the Human Resources website on http://www.jobs.qmul.ac.uk/ and search for reference QMUL7667.
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 14th February 2016
Interviews are expected to be held on 15th and 16th March 2016.
Valuing Diversity & Committed to Equality