Professorship for Digital Business and Data Science

Global University Systems (GUS) is one of higher education institutions' most diverse educational networks worldwide. GUS educates in various bachelor's and master's degree programs, English language courses, and professional, corporate and executive education. At 57 locations, including the United Kingdom, Canada, the United States, the Caribbean, Ireland, Israel, Singapore and Germany, approximately 87,000 students form an international network to learn together.

The University of Europe for Applied Sciences (UE) is part of the Global University System. In Germany, UE is headquartered in Potsdam and has campuses in Berlin, Iserlohn, Hamburg, and Dubai. UE is distinguished by its particular practical relevance, internationality, modern teaching content, and personal interaction with students. Every day, UE employees contribute with innovative ideas to bring UE closer to its goals: quality, service, internationality and growth. The degree programs result from direct exchange between UE professors, staff, and students and feedback from potential employers.

For our Engineering and Data Science programs in Potsdam, we are looking for:

Professorship for Digital Business and Data Science

You should be able to demonstrate excellent knowledge of the new trends and applications in the Digital Business and Data Science sector and experience in teaching students from various cultures.

Key Activities & Responsibilities:

• Conducting introductory and advanced courses in the areas of Data Science
• Planning and implementation of research projects, including publication activities in the fields of Data Science as well as in other related areas
• Advising and supervising students
• Grading student work, supervising seminars, projects, bachelor, master and doctoral theses
• Establishing partnerships with companies and institutions to further grow the network of the University at the Potsdam location
• Administrative activities and committee work
• Advising prospective students

Requirements for professorship:

• 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

Your profile:

• Experience in teaching in Data Analytics, Data Visualization, and Artificial Intelligence
• Ability to teach courses in Business related areas is an advantage
• Ability to teach courses in the English language
• Publication and research activity desired
• Strong ability to communicate and work in a team
• Organizational skills and eagerness to work together to advance the success and growth of the University

What we offer:

• Opportunity to work with a great team in a dynamic and international environment
• Days of vacation according to the working days/week
• Various online language courses and opportunities to participate in online collaboration courses (e.g., IBM Design Thinking)
• Numerous campus events from the fields of art, culture, business and science
• Opportunity to develop and implement new ideas and concept

Interested?

Then we look forward to receiving your application! The hiring requirements for a professorship are based on the provisions of §41 of the university law of the Federal State of Brandenburg/Germany. The award of the title Professor by the University of Applied Sciences of Europe is contingent on the approval of the Ministry of Science, Research, and Culture of the Federal State of Brandenburg/Germany. We need the following documents to review your application:

• Curriculum vitae
• Doctoral degree certificate and/or comprehensive list of publications
• Overview of courses given to date (scope, topic) as well as teaching evaluations
• Work certificates/professional references.

Please email the application to karriere.dubai@gusgermany.de before 31.12.2023 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 based on ethnic origin, colour, religion, gender, sexual orientation, gender identity, national origin, disability or legally protected status. Your contact for professional questions:
Prof. Dr. Rand Kouatly, Business Department, Program Director Software Engineering
Email: Rand.Kouatly@ue-germany.de