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Lecturer in Applied Statistics
Whiteknights Reading UK

Job reference: SRF35218

Location: Whiteknights Reading UK

Closing date: 23/04/2021

Job live date: 29/03/2021

Salary: £41,526 to £51,034 per annum

Employment type: AR-Academic (Lecturer)

Department: School of Mathematical Physical & Computational Sciences

Division: Mathematics & Statistics

Hours per week: 1.00FTE

Employment Basis/Type: Full-time, Permanent

The Department of Mathematics and Statistics at the University of Reading invites applications for a permanent Lectureship (equivalent of North American Assistant Professorship) in Applied Statistics. This is a teaching intensive role and the post holder will also be expected to undertake tutoring of undergraduate students and non-supervisory associated administrative duties. The post is full-time, but flexible working arrangements can be considered.


You will have:

  • An MSc or PhD in statistics;
  • Knowledge of core areas of applied statistics (data analysis, inference, modelling) at UG level;
  • Knowledge of a range of statistical computing packages;
  • Ability to develop own teaching materials, methods and approaches to teaching; and
  • Dedication to high-quality teaching and learning.


Mathematics and Statistics at Reading offers students a vibrant teaching and learning environment coupled with excellent research - 86% of our research is recognised as World Leading or Internationally Excellent in the most recent (2014) Research Excellence Framework assessment.

UG students are enrolled on a range of programmes within the Department in which statistics features including our BSc/MMath Mathematics and BSc Mathematics and Statistics degrees and a range of joint degrees including our BSc Mathematics with Computer Science, BSc Mathematics and Economics, BSc Mathematics with Finance and Investment Banking and BSc/MMath Mathematics and Meteorology.

Statistics modules are taught across all year levels on our department-owned degrees and also to students in other degrees including Pharmacy, Pharmacology and Computer Science.

The Department is home to research groups working in applied and pure mathematics and statistics research in areas including Applied and Methodological Statistics and Statistical Mechanics, Probability and Stochastic Analysis. We have strong interdisciplinary links through our Centre for the Mathematics of Planet Earth, and collaborative projects with other departments including Biological Sciences, Chemistry, Pharmacy and Food Science..

For further information about the department please see www.reading.ac.uk/maths-and-stats/. Further details about the School of Mathematical, Physical and Computational Sciences, in which the Department of Mathematics and Statistics sits can be found at 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.


AS_RGB_Silver-Award

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.


Informal contact details

Alternative informal contact details

Contact role:

Head of Department

Contact role:

Professor of Medical Statistics and Statistics Theme Lead

Contact name:

Dr Marcus Tindall

Contact name:

Prof Sue Todd

Contact phone:

0118 378 8989

Contact phone:

0118 378 8917

Contact email:

m.tindall@reading.ac.uk

Contact email:

s.c.todd@reading.ac.uk


Interviews will be held in May


Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications. By reference to the applicable SOC code for this role, sponsorship may be possible under the Skilled Worker Route.  Applicants should ensure that they are able to meet the points requirement under the PBS.  There is further information about this on the UK Visas and Immigration Website.



The University is committed to having a diverse and inclusive workforce, supports the gender equality Athena SWAN Charter and the Race Equality Charter, and is a Diversity Champion for Stonewall, the leading LGBT+ rights organisation. 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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