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Professur für Data and Knowledge Engineering

Professur für Data and Knowledge Engineering

Universität Passau
locationPassau, Deutschland
Veröffentlicht amVeröffentlicht am: 25.3.2026
Mehrjährige Berufserfahrung
The University of Passau owes its strong visibility and good repute to excellent research, innovative teaching and its tight-knit international academic networks. Some 11,000 students and more than 1,300 staff study and work on our university campus, which is located a stone's throw from the historical Old Town of Passau and combines state-of-the-art technical Internationally successful high-tech companies and a vibrant start-up scene, coupled with a rich culture and Lower Bavarian traditions, give Passau and the surrounding area a special appeal that makes it a great The Faculty of Computer Science and Mathematics is particularly strong in terms of external funds acquired and in the number of scientific publications; furthermore, it enjoys an excellent worldwide standing for its research output, and its teaching quality is proven by the outstanding results achieved in German and international university rankings. The faculty responds to the multifarious challenges of a dynamic research landscape on the basis of three core areas of competency: algorithmically oriented mathematics and theoretical computer science as the formal theoretical computer science with a focus on AI, software and information systems for the application of the theoretical principles in a wide range of application areas; and IT security and reliability.

Professur für Data and Knowledge Engineering

Passau
Unternehmen: Universität Passau

Aufgabe:

Applicants should have an excellent international track record in research related to data and knowledge engineering gained through their work at a university, research institute or in the industrial sector. Potential research interests are: * Data and knowledge modelling and knowledge graphs * Knowledge discovery and acquisition * Knowledge retrieval and deduction systems * Data integration, especially data cleaning * Data provenance * Data exploration and profiling * Data creation and data management for AI The professorship is central to the Faculty of Computer Science and Mathematics and is intended to collaborate closely with the existing chairs and professorships in the faculty. Active participation in joint research projects is expected. The postholder will represent the subject in research and teaching. This involves teaching modules for the German-taught Bachelor's degree programmes as well as research-led, English-taught modules for the Master's degree programmes of the faculty. Excellent publications, teaching experience, a strong track record in the acquisition of external (third-party) funding - particularly for cooperative research projects - and the potential for research collaborations within the Faculty of Computer Science and Mathematics as well as an interest in interdisciplinary projects are important selection criteria. The Faculty of Computer Science and Mathematics is particularly strong in terms of external funds acquired and in the number of scientific publications; furthermore, it enjoys an excellent worldwide standing for its research output, and its teaching quality is proven by the outstanding results achieved in German and international university rankings. The faculty responds to the multifarious challenges of a dynamic research landscape on the basis of three core areas of competency: algorithmically oriented mathematics and theoretical computer science as the formal theoretical foundation; computer science with a focus on AI, software and information systems for the application of the theoretical principles in a wide range of application areas; and IT security and reliability.

Qualifikation:

The successful candidate will be educated to doctoral level and have demonstrated both pedagogical aptitude and academic excellence, whereby the latter is generally established on the basis of the quality of his or her doctoral research and subsequent academic achievements. He or she will, furthermore, possess the German formal postdoctoral habilitation qualification or an equivalent body of academic achievements garnered whilst employed at an institution of higher education, for instance as a juniorprofessor or in a comparable position with a different title (e.g. assistant professor or lecturer), insofar as the duties and qualification profile correspond to those of a juniorprofessor position, or by leading a junior research group under the conditions specified in Art. 98(10) sentence 5 of the Bavarian Higher Education Innovation Act (BayHIG); the habilitation-equivalent achievements may also have been attained outside the higher education system. In accordance with Art. 60(3) sentence 1 BayHIG, candidates must not be more than 52 years of age at the time of their appointment. The tenure-track professorship follows the University of Passau's Regulation on the Evaluation of Junior Professorships and Tenure-Track Professorships of 8 August 2023.Tenure-track professors are initially appointed as civil servants on a fixed-term basis for a period of three years. Subject to a positive evaluation, the appointment is extended to a total duration of six years. Following a favourable final evaluation, the fixed-term tenure-track professorship is converted into a tenured W3 professorship.

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Bewerben unter:
Universität Passau
Innstraße 41, 94032 Passau (GPS: 13.44, 48.56)

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Berufserfahrung

  • Mehrjährige Berufserfahrung

Erforderliche Sprachkenntnisse

  • Englisch