The candidate will explore novel image processing-based algorithms that combine model-based and machine learning methods for spatial AI (3D reconstruction, motion estimation, resampling of signals, etc.) with event cameras. The work combines the disciplines of perception and optimization.
Successfully completed university degree (Master, Diplom or equivalent) in Computer Science or related engineering field with excellent results. Excellent knowledge and experience in computer vision, machine learning, applied mathematics, and event cameras. Publications in high-level conferences on event cameras (such as ECCV, CVPR, ICCV) and JCR-Q1 journals (Adv. Intell. Systems, TPAMI). Programming experience with Python. Knowledge of the deep learning framework PyTorch, the robot operating system ROS, and experience in event camera data acquisition. Good knowledge of German and/or English required; willingness to learn the respective missing language skills.
How to apply:
Please send your application with the required documents preferably by e-mail
in a PDF file to email@example.com
to Technische Universität Berlin - Die Präsidentin - Fakultät IV, Institut für Technische Informatik und Mikroelektronik, FG Robotic Interactive Perception, Prof. Dr. Guillermo Gallego, Sekr. MAR 5-5, Marchstr. 23, 10587 Berlin
For reasons of cost, application documents will not be returned. Please submit copies only.
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or quick access 214041.
To ensure equal opportunities between women and men, applications by women with the required qualifications are explicitly desired. Qualified individuals with disabilities will be favored. The TU Berlin values the diversity of its members and is committed to the goals of equal opportunities.