Data AnalyticsProject ManagementStakeholder Management
The University of Potsdam was founded in 1991 and has firmly established itself within the scientific landscape and developed into an outstanding economic factor and growth engine for the region. The university excels in acquiring third-party funds, has received multiple teaching awards, has a very service-oriented administration, and has been honored several times for its family-friendly culture. About 20,000 students and 3,000 employees study and work at three campuses - Am Neuen Palais, Griebnitzsee and Golm - at one of Germany's most scenic institutions of higher education.
Responsibilities
Technical exploration, implementation, testing, and documentation of pilot scenarios for the application of AI technologies in studies, teaching, and administration
Empirically grounded requirements analysis to identify the needs of specific academic disciplines and administrative units
Technical consulting for lecturers on implementation options for specific use cases, including raising awareness of data protection and ethical perspectives
Monitoring of global AI developments related to Higher Education Institutions (HEIs)
Identification of the technical prerequisites for the sustainable implementation of AI technologies for studies, teaching, and administration within the university infrastructure
Requirements
Completed academic university degree (Diploma, Master's, Magister, or State Examination), preferably in a computer science-related field or in educational, social, or administrative sciences, or in a comparable, relevant field of study
Understanding of the fundamental concepts and techniques of Artificial Intelligence (AI) and Machine Learning (ML)
Knowledge in specific AI application areas such as Natural Language Processing (NLP) and Natural Language Generation (NLG)
Experience in contributing to academic higher-education projects
Knowledge of classical programming languages and no-code environments
Methodological and statistical competencies
Experience with cloud platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure
German language proficiency at the A2 level according to the CEFR; English language proficiency at the B2 level
Benefits
Work-life balance thanks to regular working hours, 30 days of vacation, and a defined share of remote working hours
A family-friendly environment with support services, public transport subsidy, and university sports programs
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