PhD Researcher: Advancing Urban Automated Driving Behavior
vor 4 Wochen
Bosch is seeking a highly motivated PhD researcher to contribute to groundbreaking research in closed-loop behavior planning for urban automated driving systems.
As part of our esteemed Bosch Center for Artificial Intelligence (BCAI), you will play a pivotal role in developing innovative algorithms that enable safe, reliable, and anticipatory behavior in complex traffic environments.
- Research Focus: Your PhD research will center on designing novel behavior planning algorithms capable of effectively managing interactions between various traffic agents. You'll leverage state-of-the-art machine learning techniques, including deep learning, combined with model-based solutions to push the boundaries of current research.
- Impactful Contributions: You will actively participate in defining key performance indicators (KPIs) for evaluating the reliability and robustness of behavior planning algorithms in automated driving systems. Your work will directly influence the development of cutting-edge technologies that shape the future of mobility.
- Collaborative Environment: You'll be part of a dynamic and diverse research team, collaborating with experts from various disciplines. This collaborative environment fosters knowledge sharing, innovation, and professional growth.
- Scientific Dissemination: Your research findings will be disseminated through publications in top-tier conferences and journals, contributing to the advancement of the field of automated driving.
- Real-World Validation: You'll have the opportunity to validate your algorithms both in simulation environments and on real test vehicles, ensuring their practical applicability and effectiveness.
Qualifications:
- Master's degree in Computer Science, Robotics, Electrical Engineering, or Mathematics with a strong academic record.
- Deep understanding of machine learning algorithms and principles, particularly deep learning.
- Expertise in prediction and planning techniques relevant to automated driving systems or robotics.
- Proficiency in programming languages such as Python. Experience with deep learning frameworks (PyTorch, TensorFlow) is a significant advantage.
- Strong analytical and problem-solving skills, coupled with a passion for innovation and real-world impact.
- Excellent communication and teamwork abilities.
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Renningen, Baden-Württemberg, Deutschland Robert Bosch GmbH VollzeitPhD - Closed-Loop Behavior Planning for Urban Automated DrivingJob SummaryWe are seeking a highly motivated PhD researcher to join our team at Robert Bosch GmbH to develop novel behavior planning algorithms for urban automated driving systems. The ideal candidate will have a strong background in machine learning, programming skills, and experience in...
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Renningen, Baden-Württemberg, Deutschland Robert Bosch GmbH VollzeitPhD - Closed-Loop Behavior Planning for Urban Automated DrivingJob SummaryWe are seeking a highly motivated PhD researcher to join our team at Robert Bosch GmbH to develop novel behavior planning algorithms for urban automated driving systems. The ideal candidate will have a strong background in machine learning, programming skills, and experience in...
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Renningen, Baden-Württemberg, Deutschland Robert Bosch GmbH VollzeitPhD Position in Closed-Loop Behavior Planning for Urban Automated DrivingWe are seeking a highly motivated PhD candidate to join our research group in the field of closed-loop behavior planning for urban automated driving.Key Responsibilities:Develop novel behavior planning algorithms for interaction between traffic agentsApply machine learning techniques...
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Renningen, Baden-Württemberg, Deutschland Robert Bosch GmbH VollzeitPhD Position in Closed-Loop Behavior Planning for Urban Automated DrivingWe are seeking a highly motivated PhD candidate to join our research group in the field of closed-loop behavior planning for urban automated driving.Key Responsibilities:Develop novel behavior planning algorithms for interaction between traffic agentsApply machine learning techniques...
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