Optimize model inference to run efficiently on our edge-infrastructure (Raspberry Pi 4). Incorporate MLOps practices to automate and streamline model deployment. Share your ML expertise and implement state-of-the-art ML best practices
Design an agent prototype that interacts with the environment - Design dashboard prototypes to properly communicate necessary changes in resource allocation - Technologien und Skills … Knowledge of machine learning algorithms reinforcement learning)
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
Entwicklung und Gestaltung von E-Learning-Modulen, einschließlich Text, Audio, Video, Animationen und interaktiven Elementen … Zusammenarbeit mit Fachexperten zur Erstellung von didaktisch fundierten Inhalten - Einsatz von Autorentools (z.B. Articulate, Adobe Captivate) zur Erstellung von Online-Kursen
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
Partner Call open until: October 2025 - Project start: Q1 2026 - Distributed learning for process optimization … Objectives … The Embedded Systems Research Division is actively seeking collaboration for a project focused on developing innovative methods and algorithms for decentralized analysis of online data streams
Develop in-depth knowledge of acoustic emission analysis and related AI/ML techniques … Qualified degree (MSc) in mechanical engineering, electrical engineering, physics or similar - Good analytical skills combined with problem-solving orientation
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
Unfortunately, such testing with a full factorial variation of the parameters is not feasible. In AVL, we are developing methods for the efficient identification of critical scenarios. Performance comparison of the Machine Learning methods developed at AVL
What we offer you - We are looking for a motivated student to conduct their master thesis in the area of Li-ion batterie modelling using state-of-the-art machine learning modelling techniques. This master thesis focuses on developing advanced techniques to estimate the health estimation of battery health and performance …