King's College London
Lecturer in Computational Social Science
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Lecturer in Computational Social Science
Department: SSPP Faculty Office
About Us
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.
About the Role
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.
Responsibilities
- Undertaking high-quality research in this area individually and collaboratively through grant applications and dissemination.
- Building research collaborations within the Faculty of Social Science & Public Policy and beyond, including with non-academic partners.
- Developing relevant teaching and training provision in the area of computational social science together with colleagues.
- Working with the Methods Centre Director and the Faculty Research Team to locate new research and funding opportunities.
- Playing a key role in the institutional and intellectual development of the Methods Centre.
- Undertaking other administrative Centre duties as required.
Requirements
Essential criteria
- 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
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Desirable criteria
- Experience of grant applications
- Developing record of high-quality publications in the relevant field, appropriate for career stage
- Experience of research impact
About You
This is a full-time post (35 hours per week), and you will be offered a fixed-term contract for 2 years.
Further Information
At King’s, we believe that the diversity of our community and a culture that is welcoming, open, inclusive, and collaborative, are great strengths of the university. The Equality Act of 2010 protects the rights of our students and staff and provides a framework to fulfil our duties to eliminate unlawful discrimination, harassment, and victimisation and in addition, to advance equality of opportunity and foster good relations between those who share a protected characteristic and those who do not.
At times, this will include balancing rights and beliefs that can feel in tension. We are committed to free speech and to academic freedom, believing that our foundational purpose as a university, is to create spaces where a wide range of ideas, including ideas that are controversial, can be discussed and debated, and where members of our community can express lawful views without fear of intimidation, harassment, or discrimination.
When engaging in the robust exchange of ideas, we ask that our community is mindful of our Dignity at King’s guidance.
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Application Process
We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the person specification section of the job description.
If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible.
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.
We reserve the right to close adverts early due to the volume of applications we receive. While the closing date may change, all adverts will close at 23:59 to allow sufficient time for applications to be submitted on that day.
We encourage you to apply at the earliest opportunity to avoid disappointment as once we have closed a vacancy you will be unable to submit your application.
To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages.
Interviews are due to be held in early October 2026.
Grade and Salary
£45,031 - £52,514 per annum including London Weighting Allowance
Job Details
- Job ID: 154985
- Post Date: 12-Aug-2026
- Close Date: 15-Sep-2026
- Contact Person: Claudia Aradau
- Contact Details: [Provided at the bottom of the page]
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