Research Associate (f/m/d) Decentralised Data Ecosystems
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.
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
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.
as soon as possible
For further information, please contact Dr. Tobias Käfer/en.
Please apply with your relevant documents (letter of motivation, curriculum vitae, certificates, if possible with master’s thesis or its draft and GitHub profile). You can hand in your application using KIT's application system. See also the official version of this job ad. 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.
PhD-Students / Research Associates
No information available