Jobs/Nov 13, 2017

Assistant/Associate Professor in Digital Methods in History, Aarhus University

Assistant/Associate Professor in Digital Methods in History, Aarhus University lead image

The Department of History and Classical Studies at the School of Culture and Society, Aarhus University, invites applications for the position of assistant/associate professor in digital methods in history.

The assistant professorship is a three-year fixed-term position. After three years, and subject to appropriate funding, an associate professorship in the same subject area will be announced in open competition. The associate professorship is a permanent position.

We are looking for an enthusiastic, dedicated researcher and teacher who is willing and able to contribute to the activities of the Department of History and Classical Studies, with an emphasis on the field of digital methods in history.

The Department of History and Classical Studies has decided to strengthen its competences in digital methods in research and teaching, and is therefore establishing this new position. The successful applicant will be expected to further the use of digital methods in history through their own research and teaching. They will also be expected to contribute to the enhancement of competences in digital methods among colleagues in the department. The position is linked to the university’s recently published digitisation strategy, which seeks to strengthen digitisation in research, teaching, the study environment and administration.

The successful applicant will be expected to:

  • teach and conduct research in the field of digital methods in history
  • contribute to the enhancement of competences in digital methods among colleagues in the department
  • participate in activities that seek to develop and promote the utilisation of existing collections of digitised material in Denmark and beyond

Applicants must possess the qualifications and ambitions necessary to develop research in the field of digital methods within a history department. Digital methods include (but are not confined to) mapping, modelling, network analysis, text mining and big data.