Lecturer in Applied Statistics / Survey Methodology
Social Statistics & Demography
Location: Highfield Campus
Salary: £34,304 to £44,706 per annum
Full Time Permanent
Closing Date: Tuesday 12 July 2022
Interview Date: To be confirmed
The salary can be offered at £34,304 - £38,578 (Level 4) or £39,739 - £44,706 (Level 5), depending on experience and qualifications, pro rata if applicable.
Interviews are expected to be held in the last week of July 2022.
The Department of Social Statistics and Demography at the University of Southampton invites applications for a Lectureship post from candidates with interests in applied statistics and/or survey methodology, experience with developing statistical methodology, and a commitment to excellence in research and teaching.
We are particularly interested in candidates whose expertise can complement and further develop our current research areas in the statistical methodology, including survey methodology, survey data collection, official statistics, statistical modelling and inference, data analytics and new forms of data, data linkage, the use of administrative data, and actuarial science.
The post holder must have a PhD in statistics (or be close to completion, for candidates at level 4), an equivalent qualification, or equivalent experience in a relevant area, with a strong analytical and methodological focus, and be able to satisfy all the essential criteria detailed in the job description. Knowledge and expertise in survey methodology will be of particular advantage.
The post-holder will be required to contribute to the teaching and supervision of undergraduate and postgraduate students. The successful candidate will be expected to coordinate, develop and deliver a range of teaching modules; to contribute to our continuing professional development programmes; and to carry out administrative duties within the Department and the wider Faculty of Social Sciences.
The successful candidate will additionally be expected to engage in advanced study and research, including the publication of research results in peer-reviewed international journals, and demonstrate leadership in seeking research funding. A track record in leadership in seeking funding would be an advantage, and is particularly important for appointments to L5. The post-holder should be able to demonstrate a strong, REF-quality, research portfolio, and will also be expected to contribute to research income generation and enterprise activities.
The post is available on either a part-time or full-time basis, but the minimum is 0.8 fte. The successful candidate will be expected to start ideally on 1 October 2022. The post is permanent, subject to satisfactory completion of a two-year probationary period.
The Department of Social Statistics and Demography at Southampton has world class research expertise in statistical modelling, survey methodology, official statistics, demography and global health, and takes a strategic role in the development and promotion of the use of quantitative methods in the social sciences. The members of the Department contribute significantly to the research activities at the Southampton Statistical Sciences Research Institute (S3RI), the ESRC Centre for Population Change, National Centre for Research Methods, and the Centre for Global Health and Policy. We offer an exciting and supportive place to work, with opportunities for further career progression. Details of academic programmes, research and staff profiles are available at http://www.southampton.ac.uk/demography/.
The deadline for applications is 12 July 2022. Informal enquiries may be made to Professors Ann Berrington and Jakub Bijak, joint Heads of the Department of Social Statistics and Demography, by email: A.Berrington@soton.ac.uk and J.Bijak@soton.ac.uk.
You should submit your completed online application form at https://jobs.soton.ac.uk. The application deadline will be midnight on the closing date stated above. If you need any assistance, please call Holly Shergold (Recruitment Team) on +44 (0) 23 8059 5719, or email firstname.lastname@example.org. Please quote reference 1769122CC-R on all correspondence.