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

Daimler Truck; Stuttgart; Vor Ort; EUR 40.000 - 80.000; Vollzeit

Zusammenfassung

An established industry player is seeking a motivated individual to join their Powertrain Integration & Analytics department. This exciting role involves conceptualizing innovative drivetrain architectures and utilizing data-driven methods to optimize performance in heavy-duty commercial vehicles. You will collaborate with interdisciplinary teams to ensure high standards of efficiency and satisfaction. If you are passionate about technology and eager to make a meaningful impact in sustainable transportation, this opportunity is perfect for you.

Leistungen

Dynamic work environment

Exposure to cutting-edge technologies

Support from interdisciplinary team

Qualifikationen

• Currently enrolled in a relevant degree program.
• Strong knowledge of Python/PySpark and SQL for data analysis.

Aufgaben

• Conceptualize innovative drivetrain architectures.
• Utilize data-driven methods to identify optimization potential.

Kenntnisse

Python/PySpark

SQL

AI and machine learning methodologies

Analytical skills

Structured thinking

Ausbildung

Bachelor's degree in Computer Science

Bachelor's degree in Data Science

Bachelor's degree in Automotive Engineering

Bachelor's degree in Mechanical Engineering

Bachelor's degree in Electrical Engineering

Tools

Azure

Databricks

Jobbeschreibung

At Daimler Truck, we are transforming transportation and creating a meaningful impact together. We take responsibility globally and work collaboratively to realize our vision: Leading Sustainable Transportation. As a unified global team, we drive progress and success, with every individual making a difference. Our collective goals include reducing our carbon footprint, increasing safety both on and off the track, developing smarter technology, and offering attractive financial solutions—essential elements to fulfill our purpose of keeping the world moving.

Become part of our global team: You make the difference. YOUMAKEUS

Department Overview

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

Responsibilities

1. Conceptualize innovative drivetrain architectures.
2. Define comprehensive system requirements.
3. Integrate powertrain components seamlessly into vehicle architecture.
4. Utilize data-driven analytical methods to identify optimization potential and support development decisions.
5. Collaborate closely with interdisciplinary teams, sales, and customers to ensure high standards of performance, efficiency, and satisfaction.

Thesis Topic

The connectivity of commercial vehicles produces extensive telematics data, offering insights into vehicle usage and operational conditions. Analyzing this data enables the development of optimization strategies for the powertrain, supporting vehicle development and sales enhancements.

Possible Thesis Objectives

• Data preparation and cleansing for high-quality analysis.
• Classification of usage scenarios based on operational and telematics data.
• Analysis of vehicle configurations under various conditions.
• Use case profiling with AI to optimize vehicle performance and identify suitable applications for zero-emission electric trucks.
• Develop data-driven recommendations for development and sales teams.
• Visualize and present results effectively for communication.

What We Offer

• A dynamic, innovative work environment.
• Exposure to cutting-edge Data Science and Analytics technologies.
• Support from a motivated, interdisciplinary team.

The final thesis topic will be determined collaboratively with your university, our team, and yourself. If you are excited about this challenge, we look forward to your application.

Responsibilities & Qualifications

Responsibilities: (To be detailed based on the specific role)

Qualifications: Please include up to five qualifications, ensuring that the listed responsibilities exceed qualifications.

• Currently enrolled in a degree program in Computer Science, Data Science, Automotive Engineering, Mechanical Engineering, Electrical Engineering, or related fields.
• Strong knowledge of Python/PySpark and SQL, with experience analyzing large datasets; familiarity with Azure and Databricks is advantageous.
• Knowledge of AI and machine learning methodologies.
• Basic understanding of vehicle powertrain systems.
• Analytical skills, structured thinking, and the ability to derive insights from complex data.
• Proactive, self-motivated work style with an interest in commercial vehicle technology.
• Fluent in German and English, both written and spoken.

We value attitude and potential—skills can be developed with us!

Application Instructions

Please attach your CV, enrollment certificate, current transcript, relevant certificates, internship proof, and standard period of study (max. 5 MB). Note that paper applications are no longer accepted, and documents will not be returned.

Additional Information

For applicants outside the European Trade Union, please include your residence/work permit if applicable. We welcome applications from candidates with disabilities or similar impairments. For questions, contact the local disability officer after submitting your application. For inquiries about the application process, contact HR Services via email. For position-specific questions, contact Mr./Ms. XXX at the provided phone number.

Key Details

• Employment Type: Full-Time
• Experience: (Specify years)
• Vacancy: 1
• Location: Stuttgart, Baden-Württemberg, Germany