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Thesis - Optimizing Battery Testing for EVs: Machine Learning in Lab Management
Graz
Aktualität: 02.09.2024

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02.09.2024, AVL List GmbH
Graz
Thesis - Optimizing Battery Testing for EVs: Machine Learning in Lab Management
Aufgaben:
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. allocate test equipment) Design an agent prototype that interacts with the environment Design dashboard prototypes to properly communicate necessary changes in resource allocation
Qualifikationen:
Ongoing master study in the fields of Computer Science, Telematics or Physics Good programming skills in Python C# skills appreciated Knowledge of machine learning algorithms (e.g. reinforcement learning) Knowledge of data structures and translations Good knowledge of German and English Presence from time to time at our headquarter in Graz required

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Thesis - Optimizing Battery Testing for EVs: Machine Learning in Lab Management

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Graz