Assistant/Associate Professor in Social Data Science

£33797 - £59135 per annum
Mar 02, 2021
End of advertisement period
Mar 12, 2021
Durham University
Contract Type
Full Time

The role is full time but we will consider requests for flexible working arrangements

Successful candidates will ideally be in post by 01 September 2021

The Faculty of Social Sciences and Health is nationally and globally leading, ranked in the top 100 in the world by both THE and QS with more than half of its Departments in the top 40. It has an ambitious vision to further develop in its ability to deliver world-class education and research.

We are seeking to appoint an Assistant/Associate Professor in Social Data Science. The successful applicant will be a core member of the Durham Research Methods Centre; they will also be a member of the appropriate academic department within the Faculty of Social Science and Health (Sociology, Anthropology, or Government & International Affairs), contributing to research and education. As such, applicants must demonstrate research excellence in the field of Social Data Science, Social Analytics or Computational Social Science; they must also have a proven track record of conducting high-quality research aligns with research strengths within the relevant Department (Sociology, Anthropology, or Government & International Affairs).

Candidates must also be able to teach our students to an exceptional standard. The post-holder will be expected to deliver advanced postgraduate modules on various aspects of social/health data science and modelling to underpin programmes within a new suite of Masters Degrees in data Science (specifically: Social Analytics, and Health Data Science). They will also be expected to contribute to core teaching within the relevant academic Department (Sociology, Anthropology, or Government & International Affairs), and to supervise both undergraduate and postgraduate dissertations/research.

The University provides a working and teaching environment which is inclusive and welcoming and where everyone is treated fairly with dignity and respect. Candidates will be expected to demonstrate commitment to these key principles.