Postdoctoral Researcher
vor 1 Monat
The Karlsruher Institut für Technologie (KIT) is seeking a highly qualified Postdoctoral Researcher to join its team at the saai | Archive for Architecture and Civil Engineering. As a leading research institution, KIT is committed to advancing knowledge and innovation in the field of digital humanities and cultural heritage.
Research FocusThe successful candidate will be part of an international research centre investigating the role of architectural archives as places that lay the foundations for social processes. The research will focus on sustainable knowledge genesis and data practice for the future, with a particular emphasis on the potential of neural networks to create metadata. The candidate will work closely with archivists, architects, historians, and media scientists to develop innovative methodological approaches to long-term temporal processes.
Responsibilities- Develop an applied research project through experimental application scenarios in the saai's significant, medially heterogeneous collection, incorporating self-learning processes, data genesis, metadata acquisition, and medial transformation processes through AI.
- Critically analyze, test, and further develop established national and international standards for architectural archives and multimedia collections and their potential for the saai.
- Conceive a digital strategy focusing on the integration of AI into different processes and levels of archiving at saai, in collaboration with the archive directors, managing director, and strategy team.
- Prepare and collaborate on interdisciplinary research proposals for national and international research funding.
- Establish interdisciplinary collaboration with internal KIT institutions, such as KCIST, SCC, and within the faculty.
- Establish cooperation and networking at regional, national, and international levels with regard to digital strategies and best practice projects.
The ideal candidate will have a successfully completed dissertation with a focus on digital humanities, computer science, cultural heritage, archival sciences, architecture, information sciences, museology, art history, media and communication sciences, or a related field. Experience and knowledge in the field of AI and/or archive sciences, as well as relevant formats and techniques from the field of digitization of analogue collections and the preparation of native digital collections, are essential. The candidate should also demonstrate open-mindedness and interest in interdisciplinary cooperation and a willingness to experiment on a micro and macro level.
Working ConditionsThe position is available as soon as possible, and the salary will be according to the TV-L salary category 13, depending on the fulfillment of professional and personal requirements.
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