Professor (m/f/d) of Data Science

About us

Gisma University of Applied Sciences, first established in 1999 as Gisma Business School, is a leading university of applied sciences for innovative and creative international business, technology, and engineering innovation. Our Global MBA program has been recognized for its excellence through the highly acclaimed AMBA accreditation, reinforcing our reputation in the industry. Recently, we have expanded our programme portfolio into the fields of Computer Science, Software Engineering, Data Science, and Artificial Intelligence. Our unique teaching approach combines practical experience in these fields with the development of analytical skills and an understanding of contemporary theories through personalized, hands-on, and interactive learning. Gisma is part of Global University Systems (GUS), an international education business, which is represented by over 87,000 students in nearly 60 locations across the globe, providing students with opportunities for global exposure and a unique learning experience.

Your Responsibilities

• Module responsibility and teaching of Gisma Bachelor and Master programmes as well as examination, assessments, and student supervision.
• Active participation in programme development and quality assurance.
• Conception, creation and adaptation of teaching and learning materials.
• Initiate, expand and maintain cooperation with partners in industry and research.
• Participation in accreditation procedures as needed.
• Active participation in academic administration and committee work.
• Further development of a personal research profile, publication of results, and other public dissemination activities.
• Participation in student recruitment events.

Your profile

• For an appointment you will need to fulfill all requirements according to Section 42 ff of the Brandenburg Higher Education Act (BbgHG). See the following link: §42 ff. BbgHG.

Among others the requirements for professorship are:

• Completed university studies.
• Proof of extraordinary qualification for scientific work in the form of an outstanding doctorate and/or outstanding scientific publications.
• Qualified professional experience in the field of the professorship, at least three years, two of them outside of a university after having obtained a master’s degree or equivalent.
• You are experienced in teaching in university classrooms, with blended and online approaches. Your students confirm in their evaluations an excellent quality of teaching and pedagogical aptitude.
• You have a high affinity for computer science topics.

· You have strong expertise in core areas of data science, with specialized knowledge in at least one subfield, such as predictive modeling, statistical analysis, or data visualization.

· You demonstrate practical proficiency with modern programming languages, frameworks, and state-of-the-art tools and technologies commonly used in the industry, such as Python, R, SQL, Pandas, Jupyter, or Tableau.

• You are internationally experienced and fluent in English for teaching and research purposes.
• You demonstrate significant publications.
• You possess research experience, ideally including the acquisition of funding.
• You will provide new innovative directions for research and teaching.
• Ideally, you are experienced in curriculum development and accreditation processes.

Why us?

• A full-time employment contract, including 18 weekly semester teaching hours.
• A versatile, innovative and international work environment in cooperation with renowned partner universities and cooperation partners.
• The opportunity for progression within a dynamic, entrepreneurial university environment.
• Senior responsibilities and creative freedom.
• The opportunity for personal and professional development.

Interested?

If you are interested in joining us, we look forward to receiving your detailed online application indicating the area for which you would like to be considered. Please include:

• CV
• Your degree certificates
• Research and teaching statement including list of five relevant publications
• Work certificates/professional references
• Your earliest possible start date.

Please submit your application by 30.09.2026 to be considered.
Gisma is an equal opportunity employer. As such, we explicitly encourage applications from underrepresented groups, in particular disabled persons who meet the criteria will be given preference.