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

Potsdam

Vollzeit

Befristet

Deine Aufgaben

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

Dein Profil

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

Warum wir?

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 karriere@gusgermany.de

· 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 - rand.kouatly@ue-germany.com

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.

Über uns

Die GUS Germany GmbH (GGG) ist ein innovatives und dynamisches Netzwerk von erstklassigen Hochschuleinrichtungen, das sich dafür einsetzt, Studierenden das Wissen und die Fähigkeiten zu vermitteln, die sie benötigen, um einen positiven Einfluss auf die Welt zu nehmen. Unsere Mission ist es, visionäre Führungskräfte zu fördern, die bedeutende Veränderungen für die Gesellschaft vorantreiben können.

Mit einer starken Präsenz in Deutschland, Europa und darüber hinaus besteht die GGG aus mehreren bekannten Marken, darunter die UE (University of Europe for Applied Sciences), die BSBI (Berlin School of Business & Innovation), die htk academy und die GISMA University for Applied Sciences. Unsere über 10.000 Studierenden an unseren Einrichtungen profitieren von einem breiten Spektrum an akademischen Disziplinen, darunter Wirtschaft, Technologie, Datenwissenschaft, Ingenieurwesen, Sport und Bildende Kunst.

Als Teil des Global University Systems (GUS)-Netzwerks, das über 48 Universitäten in Europa, den USA, Australien, Asien und Südamerika mit über 87.000 Studierenden umfasst, sind wir bestrebt, unseren Studierenden außergewöhnliche Lernerfahrungen zu bieten.

Bei GGG setzen wir uns für die Schaffung eines unterstützenden und integrativen Arbeitsumfelds ein, in dem sich jeder entfalten kann. Unsere Mitarbeitende spielen eine wichtige Rolle dabei, dass unsere Studierenden in jeder Phase ihrer Karriere erfolgreich sind. Werden Sie Teil unseres Teams und einer Kultur der Innovation und Exzellenz in der Bildung. www.gusgermany.com