Data Curator (m/f/d) (TV-L E 13, 100%)

Africa Multiple Cluster of Excellence

The University of Bayreuth is a research-oriented university with internationally competitive and interdisciplinary profile fields in research and teaching. In 2019, the „Africa Multiple Cluster of Excellence (EXC 2052) has commenced 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. For the establishment of new forms of interdisciplinary digital research there is an immediate vacancy for a

Data Curator (m/f/d) (TV-L, E-13, 100%) Africa Multiple Cluster of Excellence

The successful applicant will be hired until the end of December 2025. The position will be under the leadership of the Vice Dean of Digital Solutions in the Cluster of Excellence. The post holder´s main responsibility is research data management in the Cluster as a part of the Digital Research Environment (DRE). For the research data the graph-based management system WissKI is used. 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 research data also into the Digital Research Environment.

Your Responsibilities:

  • Setup, support and improvement of a WissKI system as a central part of the DRE
  • Curating research data in close communication with researchers
  • Developing interdisciplinary data models
  • Making metadata structures of our system interchangeable with the systems at our partner universities
  • Visits to partner universities
  • Proactive participation in transferring research data into data management systems

Your Profile:

  • Preferably a university master’s degree in Information Sciences or Digital Humanities
  • Programming skills and software development experience (e.g. Python, PHP)
  • Work experience or knowledge of metadata and databases (preferably graph databases)
  • Experience in project team work; good planning skills and a self-motivated, proactive attitude
  • Communication skills (presentation, negotiation, explanation)
  • Interpersonal/social skills and an open mind for working in an international environment 
  • Excellent command of English

Additional Assets would be: 

  • Research experience or PhD in Computer Science, Digital Humanities
  • Text mining related skills, tag analysis
  • Experience or knowledge in either wikidata, WissKI or Drupal
  • Knowledge of data privacy, copy right law and exploitation right
  • Knowledge of thesauri and controlled vocabulary
  • German or French speaking ability

What you can expect:

  • Modern working conditions in a creative work environment
  • Flexible working hours
  • Company health management
  • Constructive working atmosphere in a friendly, open-minded and international team
  • Compatibility of family and career

The University of Bayreuth values the diversity of its employees as an enrichment and is expressly committed to the goal of equal opportunities for men and women. Women are strongly encouraged to apply. Applicants with children are very welcome. The University of Bayreuth is a member of the Best Practice Club "Familie in der Hochschule e.V.", and has successfully participated in the HRK audit "Internationalization of the University". Persons with severe disabilities will be given preferential consideration if they are equally qualified.

Please apply online via our Bewerbungsportal Uni Bayreuth with relevant application documents indicating password "WissKI".

For further inquiries, please contact:
Prof. Dr. Mirco Schönfeld,  Ph: ++49 (0) 921/55-4597

The documents will be deleted after the position has been filled in accordance with data protection requirements.