Guest Professor of Data Science (m, f, d)

Your Responsibilities:
The opportunity:
 
We are looking for a new colleague to join our Business Faculty in Potsdam on a full-time or part-time basis starting 01.06.2026, 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 exciting role, you'll deliver engaging and practical modules, leverage your 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 Data Analytics, Data Engineering, Machine Learning and Cloud Computing.
• 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
• Participate 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 guest professorship:
 
• University studies completed with a Master’s degree or equivalent in the area of the Visiting Professorship, 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 the area of the Visiting Professorship, or related domains

Your profile:
​
• Experience in teaching courses in the areas of Data Analytics, Data Engineering, Machine Learning and Cloud Computing
• 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

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

 
Interested? 
 
We look forward to receiving your application!
 
The hiring requirements for a guest professorship are based on the provisions of § 57 of the university law of the Federal State of Brandenburg/Germany (BbgHG). Visiting Professors must fulfil the requirements set out in § 43 BbgHG.
 
How to Apply:
 
Please submit your application, including the following documents, to [email protected]
 
·       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 (incl. work hours).
 
Your contact for professional questions: Prof. Dr. Rand Kouatly - [email protected] 
 
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.