Professorship for Business Data Science

The professorship focuses on the economic applications of artificial intelligence in the context of natural language processing and machine learning. The future holder of the position will represent the field of data science in teaching, research and transfer.

With its two universities and the Research Laboratory Lower Saxony of the German Research Center for Artificial Intelligence (DFKI), Osnabrück offers a wide range of opportunities for data science research and transfer. The university is also in continuous contact with start-ups and the regional economy. The UAS7 university is well connected internationally.

YOUR RESPONSIBILITIES

• Teaching in the following degree programs:
  BA International Management, BSc Business Information Systems, BSc Business Psychology, BA International Business and Management and MA International Business and Management.
• Supporting our students in developing their skills using innovative teaching formats
• Application-oriented research in self-selected key areas in the field of Business Data Science and the transfer of new research findings to industry and society
• Establishing new and maintaining existing national and international collaborations
• Contribution to shaping and further developing Osnabrück University of Applied Sciences

YOUR QUALIFICATIONS

The criteria of the Lower Saxony Higher Education Act (NHG) govern the
requirements for appointment to a professorship at Osnabrück University of Applied Sciences (www.hs-osnabrueck.de/recruitment-requirements-for-a-professorship). These are mandatory to be fulfilled. For the advertised professorship, these criteria are specified as follows according to § 25 (1) NHG:

• A university degree in a STEM field (science, technology, engineering and mathematics) or a related field with a strong mathematical background is expected.
• The proof of the special qualification for in-depth independent scientific work is usually to be provided by an above-average doctorate. The proof of doctorate-adequate achievements is possible, if necessary.
• The professional career (at least 5 years of professional practice, including at least 3 years outside the university sector) must be demonstrably related to the contents and tasks of the professorship. This includes successful application of Natural Language Processing and Machine Learning in business projects, profound Python knowledge, as well as practical experience with deep learning model architectures and technological innovations in the field of Large Language Models (LLMs). In addition, the activity must result in special achievements.
• The development of our student, the transfer of knowledge as well as the enthusiasm for the distinctive features of the subject is the focus of the future job holder (pedagogical-didactic aptitude). Appropriate teaching experience – preferably with students – must therefore be demonstrated.
• The ability to teach in English is expected.

IN ADDITION, THE FOLLOWING QUALIFICATIONS ARE DESIRABLE:

• Ability to teach in German; otherwise, the commitment to learn it
• Open Science affinity
• Experience in interdisciplinary/transdisciplinary collaboration (e.g., team teaching)
• Coaching competence
• Gender and diversity competence
• Intercultural experience in an international environment

Please note that the subsequent steps of the selection process will take place in German.

The professorship is to be filled as soon as possible. The position is full-time. The place of work is in Osnabrück. Remuneration is in accordance with salary bracket W2 NBesO (Lower Saxony Civil Service Pay Act).

Please send your application in electronic form – preferably as a single PDF file – stating the reference number WiSo 317 to the following address by 23/09/2026:

Professorial Appointment Management
[email protected]

APPLY HERE

Apply by 24/09/2026

POINTS OF CONTACT

APPOINTMENT PROCESS
Katharina Falz
[email protected]
Tel.: +49 541 969‑3574

GENDER EQUALITY OFFICE
Bettina Charlotte Belker
[email protected]
Tel.: +49 541 969‑2955

WELCOME CENTER INTERNATIONALS
Aline Poniatowski
[email protected]
Tel.: +49 541 969‑7379

TOGETHER FOR TOMORROW

As the largest university of applied sciences in Lower Saxony, we contribute to a future worth living with our practice-oriented teaching and research. As an endowed university, we benefit from greater creative freedom and autonomy.

We are looking for colleagues who will, together with our students, shape society and are part of our continued journey to becoming an inclusive and diverse university.

WE …

• are committed to helping you balance work, family, and personal life.
• support you before, during, and after your professorial appointment with skills programs, higher education teaching programs, and (funding) advice.
• offer you ideal conditions for teaching, research, and transfer thanks to our modern infrastructure and strong regional and international network.
• value diversity and encourage all interested people, regardless of origin, skin colour, gender, age, disability, sexual identity, ideology, and religion, to apply.

EQUAL OPPORTUNITIES

To the extent permitted by law, we give preference to persons with disabilities and those of equal status, and we promote women in areas where they are underrepresented, particularly in teaching, research, and management.

MORE INFORMATION

• on Osnabrück UAS as an employer and UAS professorships
  is available at:

www.hs-osnabrueck.de/career

DATA PROTECTION

Information on the processing of personal data:

www.hs-osnabrueck.de/en/footer/privacy-policy/

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