Salary: 30.000 - 30.000 € per year Requirements: Completed academic university degree (Diploma, Masters, 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 (e.g., BMFTR, DFG, STIHL) Knowledge of classical programming languages and no-code environments, e.g., Python, R, Microsoft Azure AI Studio, RapidMiner, Dataiku, etc. Methodological and statistical competencies (e.g., for analytics) 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 Responsibilities: Technical exploration, implementation, testing, and documentation of pilot scenarios for the application of AI technologies in studies, teaching, and administration Conducting empirically grounded requirements analysis to identify the needs of specific academic disciplines and administrative units Providing technical consulting for lecturers on implementation options for specific use cases, including raising awareness of data protection and ethical perspectives Monitoring global AI developments related to Higher Education Institutions (HEIs) Conducting online and literature research and analyzing research articles, professional journals, conference reports, and other sources Assessing the risks associated with the use of AI technologies in education and administration Identifying the technical prerequisites for the sustainable implementation of AI technologies for studies, teaching, and administration within the university infrastructure Evaluating and selecting AI technologies, frameworks, and platforms based on conducted exploration and testing Considering data protection and security in all implementations Technologies: AI AWS Azure Cloud GCP Machine Learning Python Security Web Support More: We are the University of Potsdam, founded in 1991 and recognized as a significant economic factor and growth engine for the region. With about 20,000 students and 3,000 employees across three campuses, we strive for excellence in teaching and research through outstanding services. The Center for IT and Media Management (ZIM) serves as our partner for information and communication technologies, focusing on enhancing the universitys infrastructure and solutions. We offer a family-friendly environment with work-life balance, including 30 days of vacation and remote working opportunities. last updated 17 week of 2026