Welcome to the Chair for Machine Learning and Computer Vision.

Research

• Applied machine learning, e.g. deep neural networks, Bayesian networks, random forests
• Computer vision such as multimodal detection, localization and recognition of people, objects and events as well as industrial visual and multimodal material inspection.
• Data mining of multimodal / mixed signal data (e.g. production data)
• Indexing and search in image, video and multimodal documents

Academic Qualifications

Bachelor´´ s degree: Foundations of Multimedia, Foundations of Signal Processing and Machine Learning, Multimedia Project

Master´ s degree: Machine learning and Computer Vision, Advanced Machine learning and Computer Vision, Foundation Models in Deep Learning, Advanced Deep Learning

Job Opportunities

• PhD candidates

We are always looking for bright minds! If you are about to finish your Master´ s degree in Computer Science, Electrical Engineering, Physics, Mathematics or in a related field and want to perform top-class research in Computer Vision, Multimedia (= multiple sources of different signal sources), Data Mining and Analytics or Machine Learning, please submit your application to Prof. Dr. Rainer Lienhart.

• Student assistants

We are also hiring student assistants to support us with our latest research projects. The main tasks include data management and programming (scripting) for small and simple projects. For further details please contact Katja Ludwig, Robin Schön, Daniel Kienzle or Julian Lorenz.