Whitecliffe University of Applied Sciences (formerly Berlin International) is state-recognized, institutionally accredited, and offers English-taught degree programs in architecture, design, and business administration. Founded in 2014, Whitecliffe has built a uniquely international profile in Germany, with around 550 students of roughly 100 nationalities and 60 staff members. The language of instruction and administration is English.
Job ProfileWe are looking for an engaging educator and active researcher with a strong academic foundation in Artificial Intelligence, Data Science and Cybersecurity and the ability to connect advanced technologies to real-world applications. Expertise in areas such as Machine Learning, Generative AI, Cybersecurity, Data Science, Digital Transformation, IoT or Information Security is highly valued.
An important focus of this professorship is the application of Artificial Intelligence and emerging technologies to industry, education and society. Candidates should demonstrate a strong record of applied research, publications and collaboration with industry and international academic partners. Experience in curriculum development, postgraduate supervision and interdisciplinary teaching is highly valued.
ResponsibilitiesWhitecliffe is a young, growing university of applied sciences immersed in the creative and international spirit of the city of Berlin.
Whitecliffe’s Research Institute offers financial support for research projects.
Our campus is located centrally, easily accessible by public transport and part of a thriving city with many vibrant academic and economic ecosystems relevant to this professorship.
Germany-wide public transport (“Deutschlandticket”) can be purchased as a job ticket through Whitecliffe.
Diversity is important to us: We welcome applications from people regardless of their ethnic, national, or social background, gender, disability, age, and sexual identity.
Job description automatically summarized using AI
Veröffentlichungsdatum:
07 Nov 2026Standort:
BerlinTyp:
VollzeitArbeitsmodell:
Vor OrtKategorie:
Erfahrung:
2+ yearsArbeitsverhältnis:
Angestellt
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