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 Autonomous driving is a challenging task and requires good scene understanding. Deep learning is very successful in many fields and radar sensors play a crucial role in scene understanding. Developing good deep learning methods for radar modalities is an important task for autonomous driving. This requires deep learning algorithms that generalize well on different domains and types of radar sensors. Develop and improve deep learning algorithms for radar! - Original research, collaboration with machine learning and radars experts from academia and industry - Use cutting edge methods like foundation models - Publications in top-tier journals and at top-tier conferences - Technical discussions and creation of new ideas within the international research team at the BCAI and collaborator Qualifikationen - Education: excellent Master degree in Computer Science, Physics, Mathematics, Electrical Engineering or related fields - Experience and Knowledge: profound knowledge on machine learning and deep learning methods, proven programming skills and experience with deep learning frameworks like PyTorch or Tensorflow, and version control systems like Git, knowledge in radar signal processing is a plus - Personality: highly motivated to solve complex real-world problems - Working Practice: systematic, creative and self-dependent working mode - Languages: fluent in English for scientific discussions with our international experts Zusätzliche Informationen Please submit all relevant documents (incl. CV, motivation letter, certificates). The final PhD topic is subject to your university. Duration 3 years. 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? Kilian Rambach (Functional Department)
PhD - Deep Learning Generalization for Radar (Informatiker/in (Hochschule))