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The University of Basel invites applications for a Professorship in Distributed Data and Knowledge Engineering to join the Department of Mathematics and Computer Science (DMI). This position strengthens the long-term research and teaching profile of the department at the intersection of distributed systems, data science, and machine intelligence, core areas of computer science that are increasingly unified by the central role of data. The new professor will contribute to the department's vision of Trustworthy and Responsible AI, the university-wide research network Responsible Digital Society, and to the University's broader AI initiative.

Tasks

  • Enhance the research portfolio of the Department of Mathematics and Computer Science.
  • Contribute to teaching at the undergraduate and graduate level.
  • Foster interdisciplinary research collaborations across departments and affiliated institutions.
  • Strengthen the University of Basel's contributions to the management, processing, and analysis of large and heterogeneous data.
  • Build bridges between distributed systems, data science, and machine intelligence within the DMI through shared interests in data-intensive systems, distributed infrastructures, and AI-driven data management.
  • Collaborate with faculties that rely on complex data management, including life sciences, digital humanities, and economics, as well as with the Center for Data Analytics (CeDA) and the Center for Scientific Computing (sciCORE).

Requirements

  • Outstanding research record in distributed data and knowledge engineering, particularly in one or several of the following areas: large-scale data integration and provenance, real-time analytics and stream processing, AI/ML data pipelines, cloud-native and distributed infrastructures, knowledge management and information retrieval, and responsible data engineering.
  • Strong record of interdisciplinary work and addressing key issues such as scalability, reproducibility, and the ethical dimensions of data and knowledge engineering is prioritized.
  • Strong commitment to excellence in undergraduate and graduate teaching and mentorship is essential.
  • Preference for candidates who demonstrate a vision for shaping the future of data-driven computing through both research and educational practices.
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Über uns
Die Universität Basel ist eine international ausgerichtete Schweizer Hochschule mit einem breiten Angebot an Bachelor- und Masterstudiengängen in Natur-, Geistes-, Sozial- und Rechtswissenschaften, Medizin sowie Wirtschaft. Neben der akademischen Ausbildung betreibt sie Forschung in zahlreichen Disziplinen. Zielgruppen sind Studieninteressierte, Studierende, Doktorierende und Wissenschaftler.
Das Team

The position is within the Department of Mathematics and Computer Science (DMI), offering collaboration with faculties in life sciences, digital humanities, economics, the Center for Data Analytics (CeDA), and the Center for Scientific Computing (sciCORE).

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