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Data Curator (m/f/d)
The University of Bayreuth is a research-oriented university with internationally competitive, interdisciplinary focus areas
in research and teaching. At the beginning of 2019, the „Africa Multiple“ Cluster of Excellence (EXC 2052) will commence
operations with funding from the Excellence Strategy of Germany‘s federal and state governments. The aim of the cluster
is to reconfigure African studies at both the conceptual and the structural levels. The cluster is conceived as a transformative
space for the systematic study of African and African diasporic ways of life, enabling new forms of inter- and
transdisciplinary cooperation. For the establishment of new forms of interdisciplinary digital research the following position
need to be filled as soon as possible
Data Curator (m/f/d) (TV-L, E 13, 100 %)
The successful applicant will initially be hired for a period of two years. An extension until end December 2025 is possible if
the responsibilities are successfully fulfilled. The positions will be under the leadership of the Vice Dean of Digital Solutions
in the Cluster of Excellence. The postholder´s main responsibility is the digital curation and management of collections in
the Cluster and the Institute of African Studies as a part of the digital research environment of the Cluster. The work is in
close cooperation with the Research Data Management Team of the University. The cluster has four partner universities in
Africa and more privileged partners. The aim is to integrate their collections into the digital research environment as well.
In particular, the responsibilities will include the following:
curating existing digital collections and supervising the digitization of analog objects
making metadata structures of Bayreuth collections and collections at partner universities interchangeable
visits of partner universities
cooperation with the other data curators on affairs of the portfolio Digital Solutions and tasks of the digital transformation
creative participation in the development of fluid ontologies by dynamically linking metadata relating to a wide range
of data (e. g., texts, interviews, films, satellite data, statistics, internet, social media)
We welcome applications from candidates with the following profile and knowledge:
preferably a university degree in the Museology, Humanities, Social Sciences, Cultural Studies
alternatively, a completed degree in Computer Science with knowledge of one of the abovementioned fields
experience in digital curation of collections
very good knowledge of meta data standards (e.g., LIDO, DC, DataCite)
very good knowledge of thesauri and controlled vocabulary (e. g., Getty Thesauri, GND)
knowledge of data privacy, copy right law and exploitation right
an excellent command of English
the ability to work under pressure and well-honed social skills in dealing with the scholars in the Cluster of Excellence
Additional assets would be:
knowledge of relational data bases
knowledge of data exchange formats (e. g., XML, JSON)
insights in provenance research
research data management
basic programming skills
We offer a research environment at an innovative and dynamic research-oriented university with a reputation for
excellence, well-established interdisciplinary research fields and international master programs. Further information on
the Cluster of Excellence is available on the cluster homepage https://www.africamultiple.uni-bayreuth.de.
The University of Bayreuth values the diversity of its employees and is explicitly committed to the goal of gender equality.
Qualified women are therefore strongly encouraged to apply as they are underrepresented in this field. Applicants with
chil-dren are very welcome. Disabled persons with equivalent aptitude will be favored.
Please apply online with all relevant documents via the Applicant portal Uni Bayreuth until May 31, 2021 with the code
Data Curator. Reviews will continue until the position is filled. All documents will be deleted according to the privacy law
after the position is filled.
In case of questions, please contact Dr. Franz Kogelmann: email@example.com