Senior Academic Officer (Data Science Program Coordination and Teaching) | Akademische Rätin / Akademischer Rat (Bes.Gr. A 13 LBesO)

Universität Münster

Münster, Westfalen, Nordrhein-Westfalen, Deutschland
Published Jan 22, 2026
Full-time
No information

Job Summary

The University of Münster is seeking a highly qualified Senior Academic Officer (A13 level) for a permanent, full-time position within the Institute for Computer Science. This role is crucial for the interdisciplinary Master's program in Data Science. The successful candidate will dedicate their time to comprehensive study coordination, including managing communication between participating departments, ensuring quality control of the course catalog, and collaborating on re-accreditations and curriculum changes. A significant part of the role involves extensive student advising for Data Science students. Additionally, the officer must independently fulfill academic teaching duties, specifically introductory Computer Science courses for the Master's program, totaling 9 semester hours per week. Essential qualifications include a completed Master's degree and PhD in Computer Science, exceptional organizational skills, and mandatory fluency in both German and English. This position offers a chance to actively shape the academic quality and future development of a leading Data Science program.

Required Skills

Education

Master of Science in Computer Science (or equivalent); Completed Doctorate/PhD in Computer Science

Experience

  • Professional experience in study advising or study coordination (Advantageous)
  • Professional experience in academic teaching (Advantageous)
  • 3 years and 6 months of professional activity after university degree OR 1 year after doctorate/PhD (Required for Civil Servant status)

Languages

German (Fluent)English (Fluent)

Additional

  • Precision in handling legal texts, particularly examination regulations; Willingness to learn IT systems relevant for coordination activities; Teaching commitment of 9 semester hours per week.