https://jobs.reading.ac.uk/displayjob.aspx?jobid=2899



Closing Date : 21/05/2018



The Department of Mathematics and Statistics at the University of Reading invites applications for a permanent Lectureship (equivalent of North American Assistant Professorship) in any area of Applied Mathematics or Statistics.  While the primary criterion for selection will be the excellence of the candidate’s research track record and potential, we would be particularly keen to make an appointment that would align with and complement our existing research strengths. Applicants specialising in Statistics are particularly welcome.



You will have:



A PhD (or equivalent) in Mathematics, Statistics, or a closely related discipline;

A strong international research reputation supported by a track record of excellent publications;

A clear potential to develop an independent research programme supported by external funding;

Commitment and ability to deliver high quality undergraduate teaching and postgraduate supervision.



Mathematics and Statistics at Reading has an excellent research record, with 86% of our research recognised as World Leading or Internationally Excellent in the most recent (2014) Research Excellence Framework assessment.  A large part of our current research interests are at the interface of pure and applied areas, with research groups in:



Applied and Methodological Statistics

Theoretical and Computational Soft Matter and Polymer Physics

Data Assimilation and Inverse Problems

Geophysical Fluid Dynamics

Mathematical Biology

Mathematics of Climate

Number Theory

Numerical Analysis and Computational Modelling

Pure and Applicable Analysis, including Nonlinear PDEs and Spectral Theory

Statistical Mechanics, Probability and Stochastic Analysis



We have strong interdisciplinary links, through our Centre for Mathematics of Human Behaviour, our Centre for Mathematics of Planet Earth, and several joint appointments with our world-leading Department of Meteorology.  We are 50-50 partners in an EPSRC Centre for Doctoral Training in 'Mathematics of Planet Earth', with Imperial College London, and also participate in the NERC funded Centre for Doctoral Training in Modelling and Quantitative Skills in Ecology and Evolution, in which the University of Reading is also a partner with Imperial College.



For further information about the department see www.reading.ac.uk/maths-and-stats/, and about the wider School of Mathematical, Physical and Computational Sciences see http://www.reading.ac.uk/smpcs-home.aspx.



The University aspires to be an “Employer of Choice” and recognises that success is not simply determined by a competitive suite of terms and conditions of service, but by fostering a working environment that protects the physical and mental well-being of its staff. Full details of the University's Health and Well-being policy are available through the HR website.



The School of Mathematical and Physical Sciences (as it was then) was awarded an Athena SWAN Silver award in 2010, renewed in 2014 and again in November 2017, in recognition of its good employment practices in relation to women working in science, engineering and technology (SET) .



The Department of Mathematics and Statistics is also a registered supporter of the LMS “Advancing Women in Mathematics” good practice scheme, see http://www.lms.ac.uk/women/good-practice-scheme for details.



The University is a Stonewall Diversity Champion and is participating in Stonewall’s 2015 Workplace Equality Index.



Informal contact details



Head of Department

Dr Stephen Langdon

+44 (0)118 378 5021

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Research Division Leader

Professor Michael Levitin

+44(0)118 378 8997

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Interviews will be held in July, date to be confirmed.



The University is committed to having a diverse and inclusive workforce, is a Stonewall Diversity and Global Diversity Champion, and supports the principles of the Race Equality Charter and Athena SWAN.  Applications for job-share, part-time and flexible working arrangements are welcomed and will be considered in line with business needs.





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