Optimieren & Skalieren: Überwachung, Anpassung und Weiterentwicklung bestehender AI-Anwendungen - Kooperationen steuern: Zusammenarbeit mit Data Scientists, IT-Teams und externen Partnern … Erfahrung mit Machine Learning, Datenstrukturen, Cloud-Plattformen (AWS, Azure, GCP)
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What we offer you - Automotive companies are intensively developing automated driving functions and vehicles. Unfortunately, we have already seen severe road accidents involving automated vehicles … Performance comparison of the Machine Learning methods developed at AVL
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Lehre in den Bereichen Maschinelles Lernen und Computational Neuroscience … Betreuung von Projekten, Bakkalaureatsarbeiten und Masterarbeiten … Publikation von Forschungsergebnissen in einschlägigen Fachzeitschriften und auf Konferenzen
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What we offer you - Batteries, being the most valuable and defining component of electric vehicles (EVs), are of paramount importance to future mobility. The demand for battery testing facilities is soaring, with capacities being reserved years ahead … Knowledge of machine learning algorithms (e.g
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What we offer you - Fitting Physical Models to the test measurements of the Batteries or Fuel Cells are a powerful tool in capturing their inner characteristics. However, the fidelity of the physical model is highly dependent on the set of physical phenomena coved by mathematical formalism
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The focus of this position is on the development of hybrid AI models for automotive radar data. This means that you will conduct state-of-the art research at the interface between classical physics-based signal processing and data-driven machine learning and publish at high ranking conferences and journals
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For the application of testing autonomous driving systems under different driving conditions, AVL is developing various machine learning components that are integrated into complex virtualized testing environment or used together with well-accepted ADAS/AD …
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Development of new generation machine learning methods focused on the detection of object, lane and driving scenarios - Integration of the developed methods into AVL platforms - Testing and analysing full self-driving stacks under different hardware and software configurations with the integrated methods
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Performance comparison of the Machine Learning methods developed at AVL … Analysing the methods by using cognitive testing methods available in the literature on a publicly available AD stack like Autowave and Apollo … Ongoing studies in the fields of Computer Science, Telematics, Physics or Electrical Engineering
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Analyze and adapt data models for battery testing - Implement simple test environment to simulate battery test lab - Analyze state of the art in ML applicable to plant management - Select appropriate approaches and implement prototypes for tasks in the battery testing facility (e.g
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