Robert-Bosch-Campus 1, 71272, Renningen, DE Vollzeit Unternehmensbeschreibung At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: We grow together, we enjoy our work, and we inspire each other. Welcome to Bosch. The Robert Bosch GmbH is looking forward to your application! Stellenbeschreibung A suitable encoding of data is essential for deep learning perception in automated driving. Self-supervised representation learning (SSL) can generate such encodings, using unlabeled data. We are particularly interested in SSL for geometric 3D data in point-cloud format, for example, from radar or lidar sensors. Applications cover detection, classification, and tracking of relevant objects. Key to successful SSL are suitable auxiliary losses for 3D point-clouds. These should not require any manual labels, yet require enough understanding of the scene to help learning meaningful encodings. The pre-trained networks would then be fine-tuned for the final perception task, using a small labeled dataset. - Become part of the team and develop novel self-supervised learning approaches with a focus on metric sensors, e.g. radar and Lidar. - You evaluate your algorithms on public benchmark data sets and internal real-world data sets - offline and online. - Furthermore you contribute to the scientific community with publications on top conferences and journals (NIPS, ICML, CVPR, ICLR or TPAMI). - Support us actively. Take responsibility and work in an agile as well as diverse research team with other PhD students and with exchange across several projects. Qualifikationen - Education: degree (Master/Diploma) in Computer Science, Electrical Engineering, Mathematics or related field with excellent academic achievements - Experience and Knowledge: profound knowledge of machine learning algorithms and principles, preferably deep learning and proven programming skills in Python - Personality and Working Practice: open-minded team player who is goal-oriented and logical thinking - Language: fluent in English (written and spoken), German is a plus Zusätzliche Informationen You want to work remotely - we offer great opportunities for mobile working. Feel free to contact us. Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or identity. Need support during your application? Kevin Heiner (Human Resources) Need further information about the job? Michael Ulrich (Functional Department)
PhD - Self-supervised Learning for Automated Driving Perception (Informatiker/in (Hochschule))