Lecturer (Computational Sociology)

Contract type - Open ended, from September 2024

Full time - 35 hours per week

The opportunity:

You will further the School’s international reputation in teaching and research on digital and computational sociology. You will demonstrate experience, achievement and outstanding potential reflected in a growing portfolio of teaching activities, and a commitment to the provision of academic student support. You will have a research profile, in both experience to date and in future potential, which is at the forefront of scholarship in Sociology, and the field of computational sociology in particular. You will also exhibit a strong commitment to the collegial life of Sociology and the School. 

While substantive specialisation is open, we welcome applications from candidates who complement existing strengths in the Sociology group.

This post is open ended, available from September 2024.

This post is advertised as full-time (35 hours per week), however, we are open to considering part-time or flexible working patterns for not less than 0.8fte (4 days per week). We are also open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working. 

Your skills and attributes for success:

• A PhD or equivalent, either submitted or awarded by the time of appointment, except where exceptional experience can suffice as an equivalent 
• Evidence of recent, sustained and developing attainments in teaching, appropriate to career stage, also indicative of commitment to, and potential for, excellence in teaching, including online provision and the ability to develop courses/programmes at postgraduate and undergraduate levels. Particularly, teaching quantitative methods in widely used coding languages.
• Evidence of recent, sustained and developing research and publication activities appropriate to career stage, meeting standards of international excellence, and ability to attract external research funding as an independent researcher and to lead research programmes.  Particularly, expertise in computational text analysis methods applied to social scientific research questions and in digital data sources and the analysis of ‘big data’
• Evidence of a commitment to collegiality and team working

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