AVL List GmbH | Thesis - Optimizing Battery Testing for EVs: Machine Learning in Lab Management Jetzt bewerben
AVL List GmbH | Thesis - Optimizing Battery Testing for EVs: Machine Learning in Lab Management

AVL List GmbH | Thesis - Optimizing Battery Testing for EVs: Machine Learning in Lab Management

Graz Masterarbeit
Jetzt bewerben
AVL LIST GmbH

Auf einen Blick

  • Aufgaben: Optimize battery testing for EVs using machine learning in lab management.
  • Arbeitgeber: AVL is a leading mobility tech company focused on automotive development and e-mobility.
  • Mitarbeitervorteile: Receive professional guidance, a one-time fee of EUR 3,500, and practical experience.
  • Warum dieser Job: Contribute to the future of mobility while applying your theoretical knowledge in a real-world setting.
  • Gewünschte Qualifikationen: Master's student in Computer Science, Telematics, or Physics with Python skills; C# and ML knowledge preferred.
  • Andere Informationen: Work occasionally at our Graz headquarters and collaborate with industry experts.

We offer the following reserach topic: Thesis – Optimizing Battery Testing for EVs: Machine Learning in Lab Management Your Responsibilities 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. Here, prototype battery components (cells, modules) are the unit under test (UUT) to potentially thousands of test instruments (e.g., cyclers). The planning process involves a multitude of tasks, including the organization of workloads, parameters, and test procedures, mapping of UUTs to test equipment, as well as the setup of equipment. The task of reliably planning and managing the usage, control, and inventory of thousands of test channels surpasses human capabilities due to its complexity. Classic optimization methods on the other hand reach their limits due to plant uncertainties (eg., unavailability due unplanned maintenance) and sometimes unpredictable behavior of the unit under test itself. In this work, new ML-based algorithms shall be implemented, analyzed, and compared to existing methods in managing test labs. 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 Your Profile 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 We offer You can write your thesis independently and receive professional guidance and support from our experienced employees. You will have the opportunity to exchange ideas with experts in the company and benefit from their expertise. Take the opportunity to immerse yourself in the world of AVL and embed your theoretical knowledge in a practical environment. About AVL AVL is one of the world’s leading mobility technology companies for development, simulation and testing in the automotive industry, and beyond. The company provides concepts, solutions and methodologies in fields like vehicle development and integration, e-mobility, automated and connected mobility (ADAS/AD), and software for a greener, safer, better world of mobility. The successful completion of the thesis is remunerated with a one-time fee of EUR 3.500,– before tax. You don\’t want to write your final thesis just for the books, then explore the mobility of the future together with us! Maybe you will be a part of it soon! Apply now AVL is not just about cars. It\’s about changing the future. Together.

AVL List GmbH | Thesis - Optimizing Battery Testing for EVs: Machine Learning in Lab Management Arbeitgeber: AVL LIST GmbH

AVL List GmbH is an exceptional employer that fosters a collaborative and innovative work culture, particularly for those pursuing their thesis in optimizing battery testing for electric vehicles. With access to experienced professionals and cutting-edge technology in Graz, employees benefit from hands-on experience and mentorship, enhancing their growth opportunities in the rapidly evolving field of e-mobility. The company not only values academic contributions but also offers a competitive remuneration for thesis completion, making it an attractive choice for aspiring engineers and researchers.
AVL LIST GmbH

Kontaktperson:

AVL LIST GmbH HR Team

StudySmarter Bewerbungstipps 🤫

So bekommst du den Job: AVL List GmbH | Thesis - Optimizing Battery Testing for EVs: Machine Learning in Lab Management

✨Tip Number 1

Familiarize yourself with the latest trends in machine learning, especially those applicable to lab management and battery testing. This knowledge will not only help you during the interview but also demonstrate your genuine interest in the topic.

✨Tip Number 2

Connect with current or former employees of AVL on platforms like LinkedIn. Engaging in conversations about their experiences can provide you with valuable insights into the company culture and expectations for the thesis role.

✨Tip Number 3

Prepare to discuss specific programming projects you've worked on, particularly those involving Python and machine learning. Being able to showcase your practical experience will set you apart from other candidates.

✨Tip Number 4

Since good knowledge of both German and English is required, practice discussing technical topics in both languages. This will help you feel more confident during interviews and show that you're well-prepared for a bilingual work environment.

Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: AVL List GmbH | Thesis - Optimizing Battery Testing for EVs: Machine Learning in Lab Management

Machine Learning Algorithms
Python Programming
C# Programming
Data Structures
Reinforcement Learning
Data Analysis
Simulation Techniques
Dashboard Design
Resource Allocation Optimization
Technical Documentation
Problem-Solving Skills
Communication Skills in German and English
Adaptability to Complex Environments
Project Management

Tipps für deine Bewerbung 🫡

Understand the Research Topic: Before applying, make sure you fully understand the thesis topic on optimizing battery testing for EVs using machine learning. Familiarize yourself with the key responsibilities and expectations outlined in the job description.

Highlight Relevant Skills: In your application, emphasize your ongoing master's studies in Computer Science, Telematics, or Physics. Make sure to showcase your programming skills in Python and any knowledge of C# and machine learning algorithms, as these are crucial for the role.

Craft a Strong Motivation Letter: Write a motivation letter that clearly explains why you are interested in this thesis opportunity at AVL. Discuss how your academic background and skills align with the responsibilities of the position and express your enthusiasm for contributing to the field of e-mobility.

Proofread Your Application: Before submitting your application, carefully proofread all documents to ensure there are no spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which are important qualities for this role.

Wie du dich auf ein Vorstellungsgespräch bei AVL LIST GmbH vorbereitest

✨Understand the Role and Responsibilities

Make sure you thoroughly understand the responsibilities outlined in the job description. Familiarize yourself with battery testing processes, machine learning applications, and lab management to demonstrate your knowledge during the interview.

✨Showcase Your Programming Skills

Since good programming skills in Python are essential for this role, be prepared to discuss your experience with Python and any relevant projects. If you have experience with C#, mention it as well, as it is appreciated.

✨Discuss Machine Learning Knowledge

Be ready to talk about your understanding of machine learning algorithms, especially reinforcement learning. Prepare examples of how you've applied these concepts in your studies or projects to show your practical knowledge.

✨Prepare Questions About AVL and the Thesis

Demonstrate your interest in AVL by preparing thoughtful questions about the company, its projects, and the thesis topic. This shows that you are engaged and eager to learn more about the opportunity.

AVL List GmbH | Thesis - Optimizing Battery Testing for EVs: Machine Learning in Lab Management
AVL LIST GmbH Jetzt bewerben
AVL LIST GmbH
  • AVL List GmbH | Thesis - Optimizing Battery Testing for EVs: Machine Learning in Lab Management

    Graz
    Masterarbeit
    Jetzt bewerben

    Bewerbungsfrist: 2027-01-10

  • AVL LIST GmbH

    AVL LIST GmbH

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