Thesis on the Development of Data-Driven Optimization Methods for Powertrain Configuration to E[...]

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Thesis on the Development of Data-Driven Optimization Methods for Powertrain Configuration to Enhance Efficiency in Commercial Vehicles starting July 2025, Stuttgart

Client:

Location:

Stuttgart, Germany

Job Category:

Other

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EU work permit required: Yes

Job Views:

2

Posted:

06.05.2025

Expiry Date:

20.06.2025

Job Description:

The department of Powertrain Integration & Analytics within the Truck Technology Group at Daimler Truck AG is dedicated to developing and optimizing powertrain systems for heavy-duty commercial vehicles. Our purpose is to design high-performance, efficient, and sustainable drivetrain solutions that align with ongoing technological advancements and energy transformations, meeting our customers' requirements.

Our responsibilities include conceptualizing innovative drivetrain architectures, defining comprehensive system requirements, and seamlessly integrating powertrain components into the overall vehicle architecture. Using data-driven analytical methods, we identify optimization potential within powertrain systems and facilitate data-based development decisions.

Through close collaboration with interdisciplinary development teams, the sales organization, and our customers, we ensure our powertrain systems meet the highest standards of performance, efficiency, and customer satisfaction.

Thesis Topic

The connectivity of commercial vehicles generates extensive telematics data, offering valuable insights into vehicle usage profiles and operational conditions. Analyzing this data enables the identification of optimization strategies within the powertrain, supporting well-founded recommendations for vehicle development and enhancing sales processes.

What We Offer:

• A dynamic and innovative work environment
• Exposure to the latest technologies and methodologies in Data Science and Analytics
• Support from an interdisciplinary and highly motivated team

The final thesis topic will be determined in collaboration with your university, yourself, and our team. If you're excited about tackling this challenge, we look forward to receiving your application.

• Data preparation and cleansing to ensure high-quality datasets for analysis
• Classification of usage scenarios based on operational and telematics data from heavy-duty trucks
• Analysis of vehicle configurations under various operating conditions
• Identification of use case profiles through AI methods to optimize vehicle configurations for performance and efficiency, and to identify appropriate use cases for zero-emission, battery-electric trucks
• Development of data-driven recommendations for development and sales teams
• Visualization and structured presentation of results for effective communication

Currently enrolled in a degree program in Computer Science, Data Science, Automotive Engineering, Mechanical Engineering, Electrical Engineering, or a related field

Solid knowledge of Python/PySpark and SQL, with experience analyzing large datasets; experience with Azure and Databricks is an advantage

Familiarity with common AI and machine learning methodologies

Basic understanding of vehicle powertrain systems

Strong analytical skills and structured thinking, with the ability to extract meaningful insights from complex datasets

A self-motivated and proactive working style with a keen interest in commercial vehicle technology

Able to express yourself easily in English and German

At Daimler Truck, we aim to transform transportation to make a positive impact. We take global responsibility and work as a unified team towards our vision: Leading Sustainable Transportation. Our people make the difference, driving success and innovation. We are committed to sustainability, safety, and developing smarter technologies and financial solutions. We welcome applications from diverse backgrounds, including persons with disabilities, and promote an inclusive culture.