JOBS@ECPR-METHODS: Lecturer in Social Statistics/Quantitative Methods, Bristol University
The Graduate School of Education (GSOE) at the University of Bristol is seeking to appoint a fixed term, 0.75 FTE Lecturer in Social Statistics/Quantitative Methods within its Centre for Multilevel Modelling (CMM). Start date is to be as soon as possible.
The CMM is a very active cross-faculty research centre that is primarily based within the GSOE. The Centre’s work has been heavily supported by the ESRC with continuous funding since it moved to Bristol in 2005.
The successful candidate will play a significant role in the development of advanced quantitative methods in education and multidisciplinary related fields and collaborate on research into statistical software development. They will contribute to our quantitative methods and more general research methods training to postgraduates within the School and to the short courses run by the Centre for Multilevel Modelling. They will also contribute to extending the School’s research profile in quantitative methods.
The GSOE is approaching an interesting period of development as a School as it intends to increase its teaching offering to cover undergraduate students and the post holder would be expected to input into this process.
Applicants should have an appropriate record of achievement in social science for the level of post applied for. It is not a requirement that quantitative or statistical expertise has been applied to education, although candidates called to interview will be expected to demonstrate how their experience and expertise will be applied to educational issues.
Essential criteria for this posts includes:
- Experience of teaching quantitative methods / statistics at undergraduate and postgraduate levels;
- Contributor to teaching on postgraduate programmes;
- The potential to seek and secure research funding;
- A research background in the application of statistical methodology and computational statistics to the social sciences;
- Excellent communication (written and spoken) and interpersonal skills for collaborative working;
- A good Honours degree (or equivalent);
- Higher degree in statistics or a subject that involved considerable research in statistics or quantitative methods
For information enquiries, please contact Professor Justin Dillion, Head of School (email: email@example.com or tel: +44 (0)117 33144944) or Professor William Browne, Professor of Statistics, Graduate School of Education (email: firstname.lastname@example.org or tel: +44 (0)117 33 14350)
See full call here.
Deadline: 11 August 2016