UNIVERSITY OF EXETER

Lectureship in Statistical Science (Education and Research)

Location
Exeter, Devon (GB)
Posted
06 Feb 2018
End of advertisement period
08 Mar 2018
Contract Type
Permanent
Hours
Full Time

Lectureship in Statistical Science (Education and Research)

Our reference number: P57874

These new full-time posts are available immediately on a permanent basis.

The University of Exeter is a member of the prestigious Russell Group of research-intensive universities.  We combine world-class teaching with world-class research, with 98% of our research rated as being of international quality in the 2014 Research Excellence Framework. The University of Exeter has over 22,000 students and 4600 staff from 180 different countries, and achieved a Gold rating in the Teaching Excellence Framework Award 2017. 

The University is making significant investment in data intensive research. In addition to these posts, and a new professor of Statistical Science to be appointed this year, the University has established an Institute of Data Science and Artificial Intelligence with the recruitment of eight new academic staff across statistics and computer science. The University has also recently become a member of the Alan Turing Institute.

Statistical Science at Exeter, a core component of the Department of Mathematics, is renowned for developing and applying methodological research to address some of today‚Äôs most important societal challenges, including climate change, environmental risk, weather forecasting, air quality and global health. 

There is a strong record of enhancing the impact of research through engagement with external partners, both within the UK and internationally. Examples include the UK Met Office, the World Meteorological Organization, the World Health Organization, and leading financial organisations such as Willis Towers Watson. 

The roles

We are seeking to appoint two lecturers in Statistical Science, specialising in the application of methodological research in environmental modelling and/or environmental health. 

These posts will be based in Exeter and/or at our Penryn Campus, near Falmouth, taking account where possible of your preference. The posts come with additional funding for travel to enable the post holder to interact with researchers at both campuses and with The European Centre for Environment & Human Health which is located in Truro, close to the Penryn campus. Between the posts there will be teaching responsibilities at both the Exeter and Penryn campuses.

About you

You will be driven by methodological research with a strong interest in its application in environmental modelling and/or environmental health. 

You will have:

  • The potential for international excellence in research, high quality publications and success in attracting funding for research
  • A commitment to working in an inter-disciplinary environment
  • A commitment to demonstrating the wider impact of research
  • A track record of demonstrated excellence, or will show the potential for excellence, in delivering undergraduate teaching and the supervision of graduate students

The University has campuses located on the outskirts of the cathedral city of Exeter, close to the Devon coast and Dartmoor National Park, and close to the historic port of Falmouth on the south coast of Cornwall. To find out more about the area, please have a look at our website for some further information on what a beautiful part of the country we are based in.

To make informal enquiries about the posts, applicants should contact either the Head of Statistical Science, Prof. David B. Stephenson (d.b.stephenson@exeter.ac.uk) or the Head of Mathematics, Prof. Gavin Shaddick (g.shaddick@exeter.ac.uk)

The University of Exeter is an equal opportunity employer.  We are officially recognised as a Disability Confident employer and an Athena Swan accredited institution.  The Department of Mathematics is committed to reducing gender inequality, as recognized by an Athena SWAN silver award in 2016. Whilst all applicants will be judged on merit alone, we particularly welcome applications from groups currently underrepresented in the workforce