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Master Thesis in the Field Affective Computing (f/m/d)

MAN Truck & Bus SEvor 1 StundeWerkstudent
Vor OrtEnglisch erforderlichDeutsch von Vorteil (nicht erforderlich)TechKI, ML & Data Science

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  • Gehalt

    Nicht angegeben

    Median für Tech in München: 17,26 €/Std., aus 93 Werkstudentenanzeigen mit Gehaltsangabe der letzten 12 Monate. Gehaltsübersicht

  • Voraussetzungen

    Studium: Informatik · Masterstudierende · Immatrikulation erforderlich

  • Gut zu wissen

    Abschlussarbeit möglich · mit Reisetätigkeit

  • Arbeitgeber

    MAN Truck & Bus SE · Automobilindustrie · 1.000 bis 9.999 Beschäftigte weltweit · Hauptsitz in München

    Wir listen 38 offene Werkstudentenjobs und Praktika bei MAN Truck & Bus SE, davon 28 in München. Seit April 2026 haben wir dort 59 weitere gelistet, die inzwischen geschlossen sind. Alle Stellen von MAN Truck & Bus SE

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  • Skills laut Anzeige

    Conversational AIPyTorchLarge Language ModelsAffective ComputingEmotion RecognitionDeep LearningPythonTensorFlow

Stellenbeschreibung

Beschreibung bereitgestellt von MAN Truck & Bus SE

To be filled from

01.10.2026

Your working environment

TRATON Research & Development (R&D) is undergoing a major transformation to establish a strong, global Group R&D organization. Our goal is to deliver a time-critical roadmap, deliver outstanding customer value, and drive innovation across our brands - Scania, MAN, INTERNATIONAL and Volkswagen Truck & Bus. This transformation will strengthen our competitiveness and position Group R&D as a key business partner within TRATON Group. We are now looking for you to be part of this exciting change journey, shaping the future of Group R&D.

About us

At TRATON R&D, you are an important part of something bigger. Joining us means gaining access to the ins and outs of the entire transportation industry. As part of a global team of industry experts, you get to think bigger, experience more, and reach further. Being bigger also means being stronger. Together with our brands, we have the collective power to transform the transportation.

We see the individuality of our employees as a strength and welcome diverse applications from people with different backgrounds. If you need support during your application, please contact us.

Conversational AI as a human-machine interface represents a key enabling technology in the field of commercial vehicles. The main objective of this master thesis project is to advance the development of conversational AI for drivers of commercial vehicles from its current driver-user experience foundation towards emotion-aware interaction. It builds upon existing work in the field of driver user experience.

You will be part of TRATON R&D Germany GmbH in collaboration with the Chair of Health Informatics (CHI, Prof. Dr. Schuller), School of Computation, Information and Technology at TUM. In your role, you will work as a member of the core development team at TRATON R&D from the industrial side, while being academically supported by the CHI. As the industry partners are also located in Sweden, occasional business travels may be required.

You can look forward to these tasks
Your work will cover multiple aspects of applied AI research and industry application, such as:

  • Identification of the promising state-of-the-art model approaches
  • Definition (or refinement) of test cases and driver interaction scenarios
  • Benchmarking of available model types under defined boundary conditions (based on requirements from previous investigations)
  • Augmenting a pre-existing conversational model with emotion recognition capabilities
  • Deployment of the developed model on a prototype level environment (e.g., truck simulator or real vehicle)
  • Training, testing, and evaluation based on defined use cases and scenarios against the evaluation criteria


We are looking forward to

  • Student at the TUM School of Computation, Information and Technology, eligible to start a master thesis
  • Practical experience in deep learning, knowledgeable in standard Python frameworks, such as PyTorch and TensorFlow
  • Familiarity with large language models is beneficial
  • Experience in affective computing/emotion recognition is a plus
  • Independent, structured, and analytical working style
  • Strong English skills (academic level); good German and Swedish skills are a plus but not mandatory
  • Willingness to work with and adapt to various systems and environments

Has TRATON piqued your interest? We look forward to receiving your detailed application!

Job information 

Reference number: 6147 

Claudia Wünsche, [email protected], will be happy to answer any questions about HR you may have. 

The contact person for the department is: Simon Bucher, [email protected] 

Integrity and compliance are essential parts of our corporate culture. 

We promote diversity and equal opportunities and look forward to receiving diverse applications.

Es gelten:20-Stunden-Regel140/280-Tage-RegelWerkstudentenprivilegBrutto-Netto-Rechner

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