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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This immersive, hands-on course offers a deep dive into advanced neural networks, state-of-the-art deep learning techniques, MLOps, and AI strategy. Through a structured blend of theoretical foundations and practical exercises based on real-world Oil & Gas datasets, participants will develop the skills to confidently apply core …
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Als Teil unseres Teams gestaltest du innovative Bildverarbeitungskomponenten für unser iriis-System. Du fokussierst dich auf die Produktentwicklung und bist für die Systemarchitektur/Interfaces unserer ML-Platform verantwortlich
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Partner Call open until: October 2025 - Project start: Q1 2026 … The project concerns the development of distributed and/or federated machine-learning methods, in the context of process control, automotive industry and/or consumer electronics
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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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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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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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TU Graz master student of information and computer engineering, sound engineering or similar … Software development background for computationally efficiently processing - Knowledge of Julia will be a plus - Ideally you combine the work with a Master’s thesis
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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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