Master’s Thesis in AI Applications for Cost Analysis and Supply Chain Optimization starting February 2026

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    Daimler Truck

    ABOUT US
     At Daimler Truck, we change today’s transportation and create real impact together. We take responsibility around the globe and work together as one global team. We drive our progress and success together – everyone at Daimler Truck makes the difference. Together, we want to 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 Cost engineering and supply chain management are becoming more complex due to global production and changing market conditions. Traditional approaches for estimating costs, especially logistics and landed costs, are often manual, time-consuming, and inconsistent. AI technologies can help automate and enhance these processes, but there are challenges such as data reliability, prompt design, and choosing the right models. 

    This thesis will investigate how AI can be applied to improve workflows in cost estimation and supply chain optimization while addressing these challenges.

    WHAT TO EXPECT

    • Research AI techniques that can improve cost estimation and supply chain optimization
    • Develop methods to ensure reliable and repeatable AI outputs
    • Explore prompt engineering strategies to improve accuracy
    • Compare different AI models and frameworks for industrial applications
    • A framework for applying AI in cost analysis and logistics
    • Guidelines for data handling and prompt design to improve consistency
    • Comparative insights into AI tools for supply chain and cost engineering use cases

       

    WHAT WE OFFER YOU

    • An exciting and varied role in a dynamic environment
    • The opportunity to take responsibility for projects and contribute your own ideas
    • Attractive compensation and flexible working hours
    • Insights into the working world of a leading company in the commercial vehicle industry
    • Participation in and contribution to engaging exchange and networking formats within the cross-location Students @ Daimler Truck network

    THAT’S WHY YOU ARE A MATCH
     

    • Master’s student in Business Administration or similar studies, Computer Science, or related fields
    • Prior experience in supply chain or cost engineering is a plus
    • Experience in Generative AI, ability to create visualizations and familiarity with AI frameworks in the market
    • Interest in transportation logistics
    • Analytical thinking, problem-solving, and ability to work independently
    • Additional Requirement: The university must agree to supervise the topic academically. Specific requirements can be fine-tuned after the supervisor confirms their involvement

     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 right to get your documents returned. Please find the criteria of employment https://www.daimlertruck.com/karriere/studierende-absolventenCitizens of countries outside the European Trade Union please send, if applicable, your residence / work permit. We particularly welcome online applications from candidates with disabilities or similar impairments in direct response to this job advertisement. If you have any questions, you can contact the local disability officer once you have submitted your application form, who will gladly assist you in the onward application process: sbv-zentrale-truck@daimlertruck.com If you have any questions regarding the application process, please contact HR Services by e-mail: hr-service@hr.daimlertruck.com

    To apply for this job please visit fa-exdu-saasfaprod1.fa.ocs.oraclecloud.com.