Dieses Stellenangebot ist nicht mehr verfügbar
Über
Develop accurate, scalable vehicle dynamics models from collected road test data, leveraging deep learning and advanced data analysis techniques. Conduct in-depth analysis of road test data to identify trends, anomalies, and key performance indicators to enhance model accuracy. Integrate the data-driven models into simulation pipelines with seamless compatibility. Design and implement an automated modeling pipeline for periodic model training, evaluation, and updates. Collaborate with cross-disciplinary teams to reproduce and resolve issues encountered during real-world road tests. Required Skills
MS (with 5+ years of relevant experience) or PhD (with 2+ years) in mechanical, electrical, aerospace engineering, physics, computer science, or a related field. Extensive experience applying deep learning techniques to time series forecasting and data analysis. Strong understanding of conventional vehicle dynamics modeling. Proficient in Python and C++, with experience working in large codebases. Excellent communication skills and the ability to collaborate effectively in a team setting. Preferred Skills
Familiarity with state-of-the-art deep learning models and their applications. Experience with autonomous vehicle or robotics simulation and related concepts. Background in autonomous vehicle prediction, planning, and control.
#J-18808-Ljbffr
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot wurde von einem unserer Partner veröffentlicht. Sie können das Originalangebot einsehen hier.