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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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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Du bist teil eines interdisziplinären Teams und beschäftigst dich mit der Lösung von komplexen Problemstellungen aus dem Intralogistikbereich unter Anwendung von State-of-the-Art Machine Learning Ansätzen … Du analysierst Robotik-Lösungen zusammen mit anderen Software- und Mechatronik-Experten und entwickelst KI …
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You are a motivated master student from materials science, physics, or computational sciences (e.g., computational mechanics, applied mathematics) with one or more of the following skills … linear algebra/machine-Learning 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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Testing and analysing full self-driving stacks under different hardware and software configurations with the integrated methods. Technologien und Skills - Python - C++ - Unsere Erwartungen an dich: Qualifikationen - Ongoing studies in the fields of Computer Science, Telematics, Physics or Electrical Engineering
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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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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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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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