Automotive companies are intensively developing automated driving functions and vehicles. Unfortunately, we have already seen severe road accidents involving automated vehicles. Thus, the safety and reliability of autonomous driving vehicles (ADV) need to be tested and verified under different environmental and traffic …
An autonomous vehicle is a complex cyber-physical system that requires state-of-the-art ML/AI software components and sophisticated hardware equipment to work together. For the application of testing autonomous driving systems under different driving conditions, AVL is developing various machine learning components that …
Entwicklung und Abhaltung von Lehrveranstaltungen, im Bereich Machine Learning, Deep Learning and Reinforcement Learning. Erstellen von wissenschaftlichen Publikationen und Teilnahme an wissenschaftlichen Konferenzen. Mitarbeit bei der Erstellung von Forschungsanträgen
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
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
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
For the research area “Simulation-based Development”, we are therefore seeking a motivated and innovative PhD student to develop data-driven strategies for condition monitoring of key power unit components in large ICEs using AE analyses, in particular by employing …
Development of machine learning methods - Implementation of the developed methods into AVL testing pipeline of Batteries and Fuel Cells - Overcoming limitations of sparse and out-of-distribution training datasets … Ongoing studies in the fields of Computer Science, Telematics, Physics or Electrical Engineering
Entwicklung und Abhaltung von Lehrveranstaltungen, im Bereich Machine Learning, Deep Learning and Reinforcement Learning - Erstellen von wissenschaftlichen Publikationen und Teilnahme an wissenschaftlichen Konferenzen - Mitarbeit bei der Erstellung von Forschungsanträgen
Entwicklung und Training von Machine-Learning-Modellen mit Frameworks wie TensorFlow oder Scikit-learn – immer passgenau für unsere Projekte. Verifikation und Bereitstellung von Modellen: Stabil, skalierbar und kontinuierlich überwacht