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Lecturer or Associate Professor in Applied Statistics

Are you an academic with a proven ability to carry out teaching and research in Statistics, Data Science or a related mathematical discipline? Do you want to combine an academic role with the opportunity to work closely with the UK Met Office to influence and deliver high impact research in the area of weather and climate science and services? Do you have an excellent research record and the ability to obtain research funding? Are you passionate about delivering an exceptional student experience in a research-intensive Russell Group University? 

 We are seeking a talented researcher in Statistics to join our School of Mathematics. This unique role is part of a strategic investment by the University in the areas of statistics and data science. Further, specifically this post builds on the existing Met Office Academic Partnership (MOAP) at Leeds, led from the School of Earth and Environment,  to provide new links between the Met Office and the School of Mathematics. The Met Office aim is to provide climate science and services to people and organisations, so they can make better decisions to stay safe and thrive. The Met Office provides scientific advice and guidance to a wide range of Government sector clients including BEIS, DEFRA, FCDO and Ministry of Defence, as well as private customers such as those in the energy, transport, water and finance sector. This is an excellent opportunity to deliver high impact real world scientific research that will enhance the Met Office’s capability, improve the quality of their products and predictions and improve advice to all Met Office customers. 

 You will be joining a group of at least nine staff at the University of Leeds who have positions that are in some way co-funded. Half your time will be funded by the Met Office for a period of two years, and we anticipate opportunities to continue such an arrangement longer term. You will have an excellent research record with the ability to collaborate effectively in a multidisciplinary setting, an aspiration to obtain external research funding and a passion for delivering first-class inspirational teaching and supervision within a research-intensive university. 

 As a Lecturer, you will carry out research, teaching and associated administration within the School, Faculty and University and contribute to academic leadership in the field of Statistics. For appointments at Associate Professor Level, you must also be able to demonstrate international standing in your field, a track record of successful and substantive grant applications, the capacity to deliver an outstanding student experience and an ability to undertake successful academic leadership. Many of our modules and programmes are accredited by the Royal Statistics Society (RSS Accreditation) and the Institute and Faculty of Actuaries (IFoA Exemptions).

 Collaboration with the Met Office will involve providing statistical guidance and academic rigour across the full range of applied science research with the Met Office. This will give the postholder an unprecedented opportunity to develop and demonstrate their own research ideas in close collaboration with Met Office experts. There will also be a requirement for occasion delivery of short training courses for applied scientists at the Met Office and participation in relevant Met Office special interest groups.

To explore the post further, for example to learn more about potential Met Office projects, or for any queries you may have, please contact: 

 Robert Aykroyd, Head of Statistics, Department of Statistics

Email: R.G.Aykroyd@leeds.ac.uk

 

Professor Kurt Langfeld, Head of School,  School of Mathematics

Email: K.Langfeld@leeds.ac.uk

Location:  Leeds - Main Campus
Faculty/Service:  Faculty of Engineering & Physical Sciences
School/Institute:  School of Mathematics
Category:  Academic
Grade:  Grade 8 to Grade 9
Salary:  £42,149 to £60,022 p.a.
Working Time:  37.5 hours per week
Post Type:  Full Time
Contract Type:  Ongoing
Release Date:  Friday 22 April 2022
Closing Date:  Tuesday 31 May 2022
Interview Date:  To be confirmed
Reference:  EPSMA1061
Downloads:  Candidate Brief  
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