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Beatrice de Graaf

Prof.

Utrecht University

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Netherlands

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Research Interests

Media Studies

20%

Statistics

10%

Political Science

20%

History

20%

Computer Science

20%

Digital Humanities

10%

Natural Hazard

10%

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Positions2

Publisher
source

Beatrice de Graaf

University Name
.

Utrecht University

PhD Political & Digital History: The Development of Crisis Narratives since 1800

This PhD position at Utrecht University offers an exciting opportunity to contribute to the Adapt! project through digital-historical research into the development of crisis narratives since 1800. The project is based in the Faculty of Humanities, Department of History and Art History, and is supervised by Professors Beatrice de Graaf and Arjen Boin. As a PhD candidate, you will investigate how societies have responded to various crises—including pandemics, natural disasters, and terrorist attacks—by analysing patterns of continuity and change in crisis responses over the long term. The research combines traditional historical source analysis with advanced digital methods, such as crisis event detection, computational narratology, and semantic modelling. You will work with large-scale corpora from databases and digital collections, including newspaper archives, policy documents, and media sources. The project aims to map the emergence, circulation, and transformation of crisis narratives, and to understand how these narratives have influenced governmental and citizen actions. A key aspect of the position is the integration of qualitative interpretation and quantitative analysis, linking insights from history and computational humanities. You will develop your own research approach, critically reflecting on the possibilities and limitations of digital methods in historical research. The results of your dissertation will directly inform the Adapt! project, and you will actively collaborate with consortium members, participate in living labs, and contribute to the CASA database of crisis narratives. Your responsibilities include conducting archival research in the Netherlands and abroad, contributing to the database of historical crisis narratives, presenting research at national and international conferences, assisting with dissemination activities, and publishing peer-reviewed articles and book chapters. The position offers a full-time contract initially for 18 months, with extension to four years upon successful assessment. The salary ranges from €3,059 to €3,881 per month, with additional benefits such as holiday pay, year-end bonus, pension scheme, parental leave, and flexible employment terms under the CAO NU. Utrecht University also provides professional development opportunities, various types of leave, and options for sports and cultural activities. Applicants must have a completed Master's degree in History, academic-level proficiency in English, and preferably another European language. Experience or affinity with digital techniques in historical research is required, along with the ability to work independently and collaboratively, translate academic insights for a broad audience, and conduct theory- and data-driven research. The university values diversity and strives to create a safe and inclusive environment for all staff and students. To apply, submit your CV, cover letter, contact details of two referees, and a self-written text or paper via the 'apply now' button. The application deadline is 26 April 2026, interviews will be held on 21 May 2026, and the preferred start date is 1 September 2026. For more information, visit the Utrecht University website.

just-published

Publisher
source

Utrecht University

Utrecht University

PhD in Political & Digital History: Crisis Narratives since 1800

Utrecht University is inviting applications for a fully funded PhD in Political & Digital History within the Adapt! research project. The project examines crisis narratives since 1800 and asks how societies respond to major crises over time, including pandemics , natural disasters , and terrorism/conflict . The PhD candidate will work at the intersection of history , politics , and digital humanities , using historical source research and digital methods to analyse large corpora of textual and visual sources. The work involves newspaper archives, policy documents, media sources, and digital collections, with methods such as computational analysis, crisis event detection, semantic modelling, and narrative analysis. A key part of the project is contributing to the CASA crisis narratives database and developing a dissertation that links political-cultural history with computational humanities. The position is based at Utrecht University in the Netherlands, within the Faculty of Humanities and the Department of History and Art History. The successful candidate will work under the supervision of Prof. Beatrice de Graaf and Prof. Arjen Boin , and collaborate with the wider Adapt! consortium, including researchers, citizens, and policy makers. The role also includes archival research in the Netherlands and abroad, presenting at conferences, publishing peer-reviewed articles and book chapters, and helping disseminate project findings. Eligibility highlights: a completed Master’s degree in History, strong academic writing and research skills, academic-level English, and experience or affinity with digital techniques in historical research. Knowledge of another European language is desirable. Applicants should be able to work independently and in teams, and to translate academic insights for a broad audience. Funding and terms: this is a full-time, fully funded PhD appointment. The contract is initially for 18 months and can be extended to a total of 4 years after a successful first-year assessment. Salary is €3,059–€3,881 gross per month, plus holiday pay and year-end bonus, with additional employment benefits and professional development opportunities. Application window: deadline 26 April 2026. Interviews are scheduled for 21 May 2026, and the preferred start date is 1 September 2026. Applicants should submit a CV, cover letter, contact details of two referees, and a self-written text or paper through the university application portal.

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