Established in 2025, the Methods Centre in the Faculty of Social Science & Public Policy is dedicated to advancing research with novel and interdisciplinary methods. It aims to sustain methodological innovation and foster collaboration across and beyond established boundaries between qualitative and quantitative methods, analogue and digital devices, and explanatory and interpretive approaches.
The Methods Centre in the Faculty of Social Science & Public Policy seeks to appoint a Lecturer in Computational Social Science to strengthen our research capacity and leadership in this area. We are looking for candidates who combine methodological expertise in cutting-edge computational techniques, including Artificial Intelligence, with an understanding of pluralistic and interdisciplinary social science research.
The successful candidate will be responsible for undertaking high-quality research in this area individually and collaboratively through grant applications and dissemination. They are expected to build research collaborations within the Faculty of Social Science & Public Policy and beyond, including with non-academic partners. They will also be responsible for developing relevant teaching and training provision in the area of computational social science together with colleagues. They will work with the Methods Centre Director and the Faculty Research Team to locate new research and funding opportunities. A commitment to collegiality is essential.
The postholder will play a key role in the institutional and intellectual development of the Methods Centre and undertake other administrative Centre duties as required.
This is a full time post (35 hours per week), and you will be offered a fixed term contract for 2 years.
To be successful in this role, we are looking for candidates to have the following skills and experience:
PhD Degree in computational social science or another relevant field
Excellent knowledge of computational social science
Understanding of pluralistic social science research and interdisciplinarity
Experience of designing and/or delivering modules in the relevant area
Commitment to methodological innovation to address social science questions
Experience with diverse data across social sciences, including born-digital data
Excellent interpersonal and communication skills
Collegiality and willingness to work as part of a team
Experience of grant applications
Developing record of high-quality publications in the relevant field, appropriate for career stage
Experience of research impact
Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process.
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Artificial intelligence (AI) is evolving rapidly, and we recognise its growing role in professional work. Applicants may use AI tools to support preparation of their application, for example to research the role or structure written responses. However, applications must reflect the applicant’s own work and experience. AI tools should not be used during interviews or assessment activities unless this has been agreed in advance as a reasonable adjustment. Further guidance on the use of AI in recruitment can be found here.
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Interviews are due to be held in early October 2026.