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 Deep Learning is one of the key enabling technologies for autonomous driving, where radar is known to be a crucial input modality as it is robust for difficult whether conditions. Moreover, it can provide information about the environment that cameras cannot reach. Combining deep learning technologies with radar modality is therefore vital for the development of reliable systems. - Your role will be to focus on the development and implementation of cutting-edge deep learning models focused on radar modality. - Specifically, during the PhD you should conduct your own research in collaboration with machine learning and radar experts from academia as well as Bosch and publish the results in top-tier journals. - You investigate new architectures by combining grid-based and point-based approaches in such a way that they have low complexity and the geometric properties of the scenes can be used as prior knowledge. - Last but not least, you model temporal information for downstream tasks like object detection and semantic labeling of point clouds. Qualifikationen - Education: Master in Computer Science, Mathematics, Physics or similar fields with excellent grades - Experience and Knowledge: solid mathematical background, general knowledge on machine learning and deep learning methods, good coding skills, particularly in Python, experience with radar sensors is a plus - Personality and Working Practice: systematic, creative and self-dependent - Enthusiasm: high motivation to solve complex real-world problems Zusätzliche Informationen Please submit all relevant documents (incl. curriculum vitae, certificates). You want to work remotely or part-time - we offer great opportunities for mobile working as well as different part-time models or job-sharing. 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? Csaba Domokos (Functional Department)
PhD in Radar Deep Learning Perception (Informatiker/in (Hochschule))