Postdoctoral Scholar in Archival Science

vor 2 Monaten


Karlsruhe, Baden-Württemberg, Deutschland Karlsruher Institut für Technologie Vollzeit

Position Overview

The Karlsruher Institut für Technologie (KIT) is home to one of Germany's most significant collections in architecture and civil engineering. This position focuses on the preservation and accessibility of a vast array of records, including those of renowned architects and engineers. The role is integral to an upcoming international research initiative that will explore the function of architectural archives as foundational sites for social processes. These archives not only serve as repositories of knowledge but also as platforms for innovative research methodologies, particularly in relation to the evolving capabilities of artificial intelligence in metadata creation.

Key Responsibilities

  • Develop and implement an applied research project utilizing experimental scenarios within the diverse collection at saai, emphasizing self-learning processes and data transformation through AI.
  • Conduct critical evaluations and enhancements of established national and international standards relevant to architectural archives and multimedia collections.
  • Formulate a comprehensive digital strategy that integrates AI across various archiving processes in collaboration with the archive leadership and strategic teams.
  • Prepare and contribute to interdisciplinary research proposals aimed at securing national and international funding.
  • Foster interdisciplinary partnerships within KIT and with external institutions to enhance collaborative research efforts.
  • Engage in networking at local, national, and international levels to promote digital strategies and best practices in archival science.

Qualifications

  • A completed doctoral degree in digital humanities, computer science related to cultural heritage, archival studies, architecture, information science, museology, art history, media studies, or a related discipline.
  • Demonstrated experience and knowledge in AI applications and archival sciences, particularly in digitizing analog collections and managing digital archives.
  • A collaborative mindset with a keen interest in interdisciplinary work, alongside a willingness to experiment at both micro and macro levels.
  • Proficiency in current scripting languages, database management, and the ability to communicate complex technical concepts effectively.
  • Excellent command of both German and English, with strong written and verbal communication skills.
  • Practical experience in project and research data management within the cultural sector is advantageous; experience in an archive, scientific collection, or museum is preferred.

Compensation

The position offers a salary in accordance with category 13 TV-L, commensurate with professional and personal qualifications.



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