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Professur für Data and Knowledge Engineering

Passau Universität Passau
IT & Softwareentwicklung Vollzeit Professional & BerufserfahrenSenior Professional & Spezialist Berufserfahrung erforderlichLangjährige Berufserfahrung erforderlich

Jobbeschreibung

  • 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

Qualifikation

  • 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 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 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 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 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.

Unternehmensbeschreibung

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.

Rechtliches

The University of Passau actively promotes equal opportunities for all genders as well as diversity in the workforce; therefore, applications are welcome from all candidates who fulfil the requisite qualifications, without regard to gender, cultural or social background, religion, world view, disability or sexual identity. As the University wishes to raise the proportion of women in research and teaching, female academics are expressly encouraged to apply. This position is suitable for candidates with disabilities. Those who are registered disabled are given preference over non-disabled applicants who do not otherwise have statutory preferential status if their overall personal aptitudes, skills and qualifications are equal.