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

TN Austria; Graz; Vor Ort; EUR 30 000 - 50 000; Vollzeit

Zusammenfassung

Ein innovatives Unternehmen sucht nach motivierten Studierenden, die ihre Masterarbeit im Bereich Batterietests und maschinelles Lernen schreiben möchten. Diese spannende Gelegenheit bietet die Möglichkeit, praktische Erfahrungen zu sammeln und von erfahrenen Fachleuten begleitet zu werden. Sie werden an der Entwicklung von Prototypen und der Analyse von Datenmodellen arbeiten, um die Effizienz in der Batterietestumgebung zu optimieren. Wenn Sie Interesse an der Zukunft der Mobilität haben und Ihre theoretischen Kenntnisse in einem praktischen Umfeld anwenden möchten, ist dies die perfekte Chance für Sie.

Leistungen

Professionelle Anleitung und Unterstützung

Austausch mit Experten

Praktische Erfahrung in der Branche

Qualifikationen

• Laufendes Masterstudium in Informatik, Telematik oder Physik erforderlich.
• Gute Programmierkenntnisse in Python und Kenntnisse in C# sind von Vorteil.

Aufgaben

• Datenmodelle für Batterietests analysieren und anpassen.
• Einfaches Testumfeld zur Simulation des Batterietestlabors implementieren.

Kenntnisse

Python

C#

Machine Learning

Data Structures

German

English

Ausbildung

Master in Informatik, Telematik oder Physik

Jobbeschreibung

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

Client:

AVL List GmbH

Location:

Graz, Austria

Job Category:

Other

EU work permit required:

Yes

Job Reference:

da670e4fb0c6

Job Views:

1

Posted:

01.04.2025

Expiry Date:

16.05.2025

Job Description:

YOUR RESPONSIBILITIES:

• 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 (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 (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.

The successful completion of the thesis is remunerated with a one-time fee of 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!

At AVL, we foster and celebrate diversity: We recognize that diverse ways of thinking are required to achieve our vision of a greener, safer, and better world of mobility. Different backgrounds, attitudes, interests, and experiences make us successful. As Equal Opportunity Employer we consider all qualified applicants without regard to ethnicity, religion, gender, sexual orientation or disability status.