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Research Associate (f/m/d) Decentralised Data Ecosystems

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Job Description

The research group Web Science/en deals with the development and application of artificial intelligence (AI) methods. This includes the semantic representation of knowledge through knowledge graphs, machine learning, and the processing of natural language.

Your activities include research on methods for decentralized data ecosystems based on the Web architecture, Linked Data, and the Solid protocol family. The use-case in project MANDAT/en (funded by the European Union and the federal ministry for education and research) is from decentralized data ecosystems for financial services. In addition to research work, you will also be active in teaching and you participate in science administration.

There is the possibility of pursuing a doctorate.

Personal qualification

You have a degree (Master) in Informatics/Computer Science, Information Systems/Business Informatics, or in related fields. Ideally, you have experience in:

  • Knowledge Graphs / semantic technologies
  • Web Architecture
  • Data Management

and you find some of the following points interesting:

  • Data fiduciaries
  • Financial Services
  • Legal aspects of data processing (GDPR, Data Act, …)
  • Agent Systems
  • Web development
  • Identities
  • Cryptography

Programming experience is highly advantageous. On top, you can excel using a high level of self-motivation and the ability to work in a team. A very good command of the English language in speech and writing completes your profile. Proficiency in German is very welcome, basic knowledge is required.


The remuneration occurs on the basis of the wage agreement of the civil service in EG-13, depending on the fulfillment of professional and personal requirements.

Starting date

as soon as possible

Contract duration


Contact person in line-management

For further information, please contact Dr. Tobias Käfer/en.


Please apply via e-mail to Tobias Käfer/en with your relevant documents (letter of motivation, curriculum vitae, certificates, if possible with master’s thesis or its draft and GitHub profile). . The positions are open until filled.

We prefer to balance the number of employees (f/m/d). Therefore, we kindly ask female applicants to apply for this job.

Recognized severely disabled persons will be preferred if they are equally qualified.

Job Type

PhD-Students / Research Associates

Link PDF

No information available

Contact Person

Tobias Käfer

Research Group

Web Science

Closing Date for Applications