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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

Daimler Truck
Germanyfull_timeVerifiedPosted 5 May 2025

About the role

ABOUT US
  At Daimler Truck, we change today’s transportation and create real impact together. We take responsibility around the globe and work together on making our vision become reality: Leading Sustainable Transportation. As one global team, we drive our progress and success together – everyone at Daimler Truck makes the difference. Together, we want to achieve a sustainable transportation, reduce our carbon footprint, increase safety on and off the track, develop smarter technology and attractive financial solutions. All essential, to fulfill our purpose - for all who keep the world moving.
  Become part of our global team: You make the difference - YOUMAKEUS

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, that precisely meet the requirements of our customers.

Our responsibilities include concepting 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 facilitating 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 volumes of telematics data, offering valuable insights into vehicle usage profiles and operational conditions. Analysis of this data enables the identification of optimization strategies within the powertrain, supporting well-founded recommendations for vehicle development and enhancing sales processes.

Possible Objectives Within the Thesis: 

  • 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.

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.

 

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THAT’S WHY YOU ARE A MATCH
  Note: Please enter a maximum of five qualifications. In any case, it should be ensured that more tasks are listed than qualifications!  
  • 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. 
  • Fluent in German and English, both written and spoken.
You don’t bring everything with you? No problem! We look for skills but hire for attitude!
  MAKEYOURMOVE and apply now – we‘re looking forward to it!
 
  Additional information:
  It doesn’t work completely without formalities. When sending your online application, please attach your CV, certificate of enrollment, current performance record, relevant certificates, if applicable proof of mandatory internship and the standard period of study (max. 5 MB). Please understand that we no longer accept paper applications and that there is no r

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Company

Daimler Truck

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