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Would you like to teach cutting-edge theories, computational methods, and questions in Critical Data & AI? Then we have the perfect challenge for you!

Would you like to teach cutting-edge theories, computational methods, and questions in Critical Data & AI? Then we have the perfect challenge for you!
The Department of Media Studies is looking for a Lecturer for a temporary period of four years to teach in the Media Studies BA and MA programmes, specifically in the BA track Cultural Information Studies and in the Master’s programme Cultural Data & AI. Teaching will take place in courses concerned with topics such as critical data and AI studies, AI practices, digital and computational methods, and contemporary themes in digital culture. Candidates must be in possession of a PhD to teach in the MA programme.
Candidates should have considerable knowledge in the field of critical data studies, especially in the areas of computational research methods and critical AI studies. They will also have demonstrable capacities in media theory, AI ethics and data analysis. Practical experience in working analytically with cultural data sets (e.g., cultural heritage data, social media data) and computational tools is desirable. Of advantage would be experience in working with societal partners in the space of cultural data analysis.
The successful candidate will be a member of the Critical Data & AI team in the Media Studies Department.

The Department of Media Studies is looking for a Lecturer for a temporary period of four years to teach in the Media Studies BA and MA programmes, specifically in the BA track Cultural Information Studies and in the Master’s programme Cultural Data & AI. Teaching will take place in courses concerned with topics such as critical data and AI studies, AI practices, digital and computational methods, and contemporary themes in digital culture. Candidates must be in possession of a PhD to teach in the MA programme.
Candidates should have considerable knowledge in the field of critical data studies, especially in the areas of computational research methods and critical AI studies. They will also have demonstrable capacities in media theory, AI ethics and data analysis. Practical experience in working analytically with cultural data sets (e.g., cultural heritage data, social media data) and computational tools is desirable. Of advantage would be experience in working with societal partners in the space of cultural data analysis.
The successful candidate will be a member of the Critical Data & AI team in the Media Studies Department.
We offer temporary employment for a period of four years with a probationary period of two months. The preferred starting date is February 1, 2026. The working hours will be 30,4 per week, with a salary between € 3.546 - € 5.538 gross based on full time employment of 38h per week, excl. 8% holiday allowance and a year end bonus of 8,3%. The Collective Labour Agreement Dutch Universities is applicable.
In addition, we offer:
We offer temporary employment for a period of four years with a probationary period of two months. The preferred starting date is February 1, 2026. The working hours will be 30,4 per week, with a salary between € 3.546 - € 5.538 gross based on full time employment of 38h per week, excl. 8% holiday allowance and a year end bonus of 8,3%. The Collective Labour Agreement Dutch Universities is applicable.
In addition, we offer:
The University of Amsterdam is the Netherlands' largest university, offering the widest range of academic programmes. At the UvA, 42,000 students, 6,000 staff members and 3,000 PhD candidates study and work in a diverse range of fields, connected by a culture of curiosity.
The Faculty of Humanities provides education and conducts research with a strong international profile in a large number of disciplines in de field of language and culture. Located in the heart of Amsterdam, the faculty maintains close ties with many cultural institutes in the capital city. Research and teaching staff focus on interdisciplinary collaboration and are active in several teaching programmes.
Want to know more about our organisation? Read more about working at the University of Amsterdam.
The University of Amsterdam is the Netherlands' largest university, offering the widest range of academic programmes. At the UvA, 42,000 students, 6,000 staff members and 3,000 PhD candidates study and work in a diverse range of fields, connected by a culture of curiosity.
The Faculty of Humanities provides education and conducts research with a strong international profile in a large number of disciplines in de field of language and culture. Located in the heart of Amsterdam, the faculty maintains close ties with many cultural institutes in the capital city. Research and teaching staff focus on interdisciplinary collaboration and are active in several teaching programmes.
Want to know more about our organisation? Read more about working at the University of Amsterdam.
Questions?
For questions about the position or department, you can contact us during office hours at:
professor of Data, Culture & Institutions
Application
If you recognize yourself in the profile and are interested in the position, we look forward to receiving your application. Please send as a single PDF file your cover (motivation) letter and CV, including the names and email addresses of two referees who can provide letters of recommendation. Only complete applications received by the deadline via the link below will be considered.
The vacancy closes on 4-1-2026. Interviews, including a short trial lecture, will take place on 16-1-2026.
Questions?
For questions about the position or department, you can contact us during office hours at:
professor of Data, Culture & Institutions
Application
If you recognize yourself in the profile and are interested in the position, we look forward to receiving your application. Please send as a single PDF file your cover (motivation) letter and CV, including the names and email addresses of two referees who can provide letters of recommendation. Only complete applications received by the deadline via the link below will be considered.
The vacancy closes on 4-1-2026. Interviews, including a short trial lecture, will take place on 16-1-2026.


