Research Assistant (f/m/d) - Explainable AI - Knowledge Graphs

Location

Paderborn | Germany

Job description

Paderborn University is a high-performance and internationally oriented university with approximately 18,000 students. Within interdisciplinary teams, we design forward-loo-king research, innovative teaching and the active transfer of knowledge into society. As an important research and cooperation partner, the university also shapes regional de-velopment strategies. We offer our more than 2,600 employees in research, teaching, technology and administration a lively, family friendly, equal opportunity environment, a lean management structure and various opportunities.

Join us to invent the future!

The  Faculty of Computer Science, Electrical Engineering and Mathematics – Department of Computer Science/Data Science Junior Research Group – offers a full-time position as

Research Assistant (f/m/d)
(Salary group E 13 TV-L)

starting as soon as possible. This is a qualification position in the sense of the Science Temporary Contract Act (WissZeitVG), which serves to support a PhD project in the field of  Explainable Artificial Intelligence . The position is limited in time for the duration of the doctoral process, depending on the qualification achieved so far, but usually for a period of 3 years. An extension to complete the doctorate may be possible within the limits set by the WissZeitVG.

Your responsibilities:

• Research in Explainable Artificial Intelligence
• This includes the development of scalable approaches for explaining machine learning models on large knowledge graphs
• Teaching for 4 hours per week

Your profile:

• Master's degree in computer science or a related field
• Profound knowledge in machine learning
• Programming skills in Python
• Prior knowledge of explainable machine learning, machine learning with graphs, knowledge graphs, and reinforcement learning is a plus
• Very good knowledge of English

We offer:

• Possibility of mobile working and flexible working hours
• Work on highly relevant research topics and technologies
• Personnel development through further training opportunities
• An employer pension scheme (VBL)

Applications from women are particularly welcome and, in case of equal qualifications and ex-periences, will receive preferential treatment according to the North Rhine-Westphalian Equal Opportunities Act (LGG), unless there are preponderant reasons to give preference to another applicant. Part-time employment is possible. Applications from disabled people with appropriate suitability are explicitly welcome. This also applies to people with equal oppor-tunities in accordance with the German social law SGB IX.

Please send your application (including cover letter, curriculum vitae, transcripts and diploma-mas digitally in a single PDF) quoting  reference number 6368until  March 31, 2024 to: [email protected].

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Salary