Data Analytics
The University of Exeter is a Russell Group university that combines world-class research with very high levels of student satisfaction. With over 21,000 students we are a global top 100 universities according to the Times Higher Education World University Rankings 2015-16. Exeter is also ranked 7th in The Times and The Sunday Times Good University Guide 2016, 9th in the Guardian University Guide 2016 and 10th in The Complete University Guide 2016. In the 2014 Research Excellence Framework (REF), the University ranked 16th nationally, with 98% of its research rated as being of international quality.
We are recruiting ambitious academics to increase our research power in key areas. We have a strong commitment to inter-disciplinary research aimed at addressing complex global challenges and give our academics the freedom to pursue intellectual interests and work creatively to produce internationally exciting research.
As part of an exciting major initiative, the University is aiming to recruit 10 new posts in data analytics and related disciplines. This activity will span our Colleges of Engineering Maths and Physics, Life and Environmental Sciences and Social Sciences and International Studies. Appointments will be made in the most appropriate college and we welcome applications from diverse disciplinary backgrounds related to data analytics. Successful applicants will join a rapidly expanding research strengths in in analytics and data science with opportunities to participate in multi-disciplinary collaborations across the university.
These posts will contribute to extending the research profile of data analytics at Exeter, particularly in areas related to machine learning, statistical science, data science, data analytics, uncertainty quantification, high performance computing for data intensive science, databases and data management, text analytics, data visualisation and modelling. We particularly welcome applications spanning more than one of these areas, and we are also looking to build expertise in urban analytics around themes such as energy, water and transport.
All applicants must be qualified to PhD level in a numerate discipline such as Computer Sciences or Mathematics or in a related field with a strong analytical element such as Geography, Psychology or Quantitative Social Science. Candidates must be able to demonstrate a strong potential for research leadership with a track record in refereed publications and involvement in submitting successful grant applications. A commitment to teamwork, collaboration and inter/multi-disciplinary working is essential to foster interactions and links both internally and externally. All applications relevant to our research strategy will be considered.
Applicants at Senior Lecturer level will have proven success in significant grant capture. The successful applicant will also be expected to contribute to teaching at both undergraduate and graduate levels.
Associate Professors will have an international reputation with experience of making significant contribution to the development of research strategy contributing to educational programmes and the overall student experience.
Professors will be leading international figures with the ability to attract world class academics to their research groups.
To view the Job Description and Person Specification document please click here.
Our Exeter Academic initiative supports high performing academics to achieve their potential and develop their career.
Applicants are encouraged to contact the Dean of the College, Prof Ken Evans (tel: 01392-723648, email: K.E.Evans@exeter.ac.uk) to discuss the posts further. Informal enquiries can be made to Profs Richard Everson (tel: 01392-724065, email: R.M.Everson@exeter.ac.uk) and David Stephenson (tel: 01392 725275, email: D.B.Stephenson@exeter.ac.uk). You may also wish to consult our web site at http://emps.exeter.ac.uk/ for further details of the College.
The University of Exeter is an equal opportunity employer which is 'Positive about Disabled People'. Whilst all applicants will be judged on merit alone, we particularly welcome applications from groups currently underrepresented in the workforce.
