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Lecturer/Senior Lecturer/Reader in Mathematical Data Science - QMUL20588

Department: School of Mathematical Sciences
Salary: £42,433 - £62,415 (Grade 5)
Reference: QMUL20588
Location: Mile End
Date posted: 13-Dec-2019
Closing date: 13-Jan-2020

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Overview:

About us

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

As part of the University’s collaboration with the Alan Turing Institute, the successful candidate will have the opportunity to join 7 current members of the School in becoming a member of the Institute of Applied Data Science at QMUL and a Turing Fellow of the Alan Turing Institute.

Following a period of significant growth, the School comprises of 74 academic staff and associate lecturers, 14 research assistants, with several more to join in 2020 and 13 members of professional services staff. The School is home to around 90 PhD students, and approximately 1,000 undergraduates and 100 master level students.

About the role

Applications are invited for a Lecturer, Senior Lecturer or Reader in Mathematical Data Science. We are seeking to appoint up to two outstanding candidates with a successful track record of applying rigorous research methods to address emerging problems in the general field of data science. Areas of focus include but are not limited to applied and computational topology, foundations of data driven approaches to complex systems or finance, machine learning, optimisation, inverse problems, statistics and uncertainty quantification. Interdisciplinary research areas are also welcome. The successful candidates will be expected to develop a research platform and interact with one or more of the existing research groups in the School, as well contribute to the further development of the School’s portfolio of Data Science master level programmes. All candidates are requested to address these aspects in their research and teaching statements. 

All candidates should have a strong interest in pursuing excellence in teaching and supervising graduate students.

At Lecturer level a successful applicant will have demonstrated exceptional potential for achieving research excellence.

A Senior Lecturer level applicants should have an excellent research profile and a strong track record of independent research as evidenced, for example, by successful PhD supervision, substantial external research funding, and/or a sustained publication record of well cited papers. At Reader level, all these will be essential requirements and candidates will be expected to have an internationally recognised research presence.

Applicants whose work has had a significant impact outside of the university environment are particularly encouraged to apply.

For further details of the role and selection criteria please refer to the job specifications 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. We strongly encourage applications from women.

Please visit www.qmul.ac.uk/maths for information about the School our family friendly and parental leave polices.

Pay & Benefits

The post is full-time and permanent. For an appointment at Lecturer level, starting salary will be in the range of £42,433 - £52,833 inclusive of London Allowance. For an appointment at Senior Lecturer and Reader level, starting salary will be in the range of £55,840 - £62,415.

Benefits include 30 days annual leave, USS pension scheme and interest free season ticket loan. The start date will be negotiable, with the possibility of starting either in June 2020 or September 2020.

Informal enquiries may be made to Professor Alex Clark at alex.clark@qmul.ac.uk

To apply, please click the link below.

Please ensure you include with your application a curriculum vitae, research and teaching statements and a statement explaining your fit with the advertised role. 

The closing date for applications is 13 January 2020

Interviews are expected to be held on shortly thereafter.

Valuing Diversity & Committed to Equality

Apply online