Your Responsibilities
The opportunity: We are looking for a new colleague to join our Business Faculty in Hamburg on a full-time basis starting , who shares our vision of excellence in education and is committed to making a difference in the lives of our students and staff.
In this role, you will deliver engaging and practical modules, leverage students’ expertise to create real‑world connections, and foster an inclusive learning experience that values diverse and creative problem‑solving. You’ll play an instrumental role in delivering high‑quality, future‑oriented education, empowering students to develop the skills and mindset needed to thrive in a globalized and rapidly evolving world. Your contributions will have a lasting impact on the academic journey of your students and support the continued growth of both the university and its vibrant international community.
Key Activities & Responsibilities:
- Conducting introductory and advanced courses in the areas of
- Business Analytics
- Data Analytics
- Machine Learning
- Artificial Intelligence
- Ethical and Responsible Artificial Intelligence
- Planning and implementing interdisciplinary research and development projects
- Advising and supervising students to help them achieve their goals
- Grading student work, supervising seminars, projects, and bachelor/master theses ensuring high academic and didactic standards
- Establishing industry collaborations and partnerships to further grow the network of the University
- Participating in university administration and committee work, actively supporting the success of UE
- Contributing to the conceptual design of new study programmes and the continuous development of existing curricula
- Advising prospective students and contributing to UE’s outreach activities
Requirements for a professorship
- University studies completed with a Master’s degree or equivalent in Computer Science, Mathematics, or a related field
- Proof of exceptional aptitude for scientific work, usually demonstrated by the quality of a doctorate and/or the quality of scientific publications
- At least three years of qualified professional experience, with two years outside of a university, in Business Analytics, Data Science, or related domains
Your profile
- Experience in teaching courses in the areas of Business Analytics, Data Science, Artificial Intelligence
- National and international work experience
- Ability to teach courses in English language
- Ability to teach courses in German language is an advantage
- Publication and research activity is a strong asset
- Commitment to applied research, student engagement, and curriculum innovation
- Strong ability to communicate and work in a team
The university aims to increase the proportion of women among its employees. Therefore, we expressly invite women with a suitable profile to apply.
As an employer, we are committed to equal opportunity and support for minorities and do not discriminate on the basis of ethnic origin, colour, religion, gender, sexual orientation, gender identity, national origin, disability or legally protected status.
Why us?
- Opportunity to work with a great team in a dynamic and international environment
- Creative freedom to develop and implement new ideas and teaching formats
- Access to research funding and professional networks across GUS
- Preventive and aftercare health care options
- 30 days of vacation
- Opportunities for continuous professional development and online training
- A collaborative environment where innovation and diversity are valued
- Numerous campus events from the fields of art, culture, business and science
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