Lecturer in AI Inference and Causality | Lecturer AI Inference and Causality (m/w/d)
IU Internationale Hochschule
Job Summary
As a Lecturer in AI Inference and Causality at IU International University, you will be responsible for delivering high-quality academic instruction to students in Berlin. Your day-to-day activities will involve teaching fundamental concepts such as Statistical Inference, Probabilistic Modeling, and Causal Reasoning using provided course materials. You will conduct interactive on-site tutorials and practical sessions, supporting dual students in bridging the gap between theoretical AI models and real-world applications. This role is highly attractive for professionals seeking to shape the future of education within a modern, digital-first environment. You will benefit from small class sizes of up to 40 students, allowing for creative freedom and personalized instruction. The position offers significant flexibility and the opportunity to join a dynamic team that values open professional exchange and innovative teaching methodologies, making it an ideal role for those passionate about mentoring the next generation of Data Science experts.
Required Skills
Education
University degree in Data Science or a related field.
Experience
- Professional work experience in Data Science or a related subject area
- Experience in academic teaching (e.g., as a tutor, teacher, lecturer, or research assistant) is preferred
- Experience in applying AI-powered tools and digital collaboration methods
Languages
Additional
- Must be available for on-site teaching in Berlin starting April 1, 2026. This is a freelance lectureship consisting of 48 teaching units.
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