Lecturer or Associate Professor in Computational Humanities and Social Science

Overview

You will design and deliver accessible, interdisciplinary teaching in computational humanities and social sciences, guiding undergraduates and potentially MA/PhD students. You will contribute to a growing BSc Information, Data, and Society at UCL East, with opportunities to develop new modules and take on governance or developmental roles. The role combines strong research autonomy with teaching across diverse cohorts and emphasises critical, applied inquiry into information, data, and society. This position offers a chance to shape future teaching and research within a globally connected department.

Pay / Benefits

• 41 Days holiday
• CARE pension
• Cycle to work scheme
• Relocation scheme for certain posts
• On-Site nursery
• On-site gym

Responsibilities

• Design and deliver undergraduate teaching for non-technical students across data and society topics
• Supervise dissertations at undergraduate level and potentially at MA/PhD levels
• Develop and lead new modules aligned with expertise in addition to teaching on existing ones
• Contribute to departmental governance and administration
• Support teaching of digital and quantitative methods across the BSc Information, Data, and Society at UCL East
• Engage in interdisciplinary collaboration and research to advance information studies
• Provide pastoral and mentorship support to students when appropriate
• Align teaching with the programme prospectus and module catalogue accessibility and relevance

Key requirements

• Completed and awarded PhD
• Applied computational/quantitative methodological expertise in humanities or social sciences
• Strong teaching ability across undergraduate programmes and potentially higher levels
• Capacity to contribute to interdisciplinary teaching and collaboration
• Clear research agenda beyond methodology
• Experience with curriculum development or module design (advantage)

• interdisciplinary collaboration
• effective communication
• mentoring and pastoral engagement
• applied computational methods
• quantitative approaches in humanities or social sciences
• data and information analysis within humanities or social contexts

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