Master Thesis in Causal Machine Learning

Bosch Group

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profile Job Location:

Böblingen - Germany

profile Monthly Salary: Not Disclosed
Posted on: 16-10-2025
Vacancies: 1 Vacancy

Job Summary

Causal reasoning is one of the main challenges in AI and a core task in many scientific and engineering disciplines. Accurate causal models enable robust behavior in Out-of-Distribution scenarios which is essential for reliable inferences and Root-Cause-Analysis in real-world applications. However traditional causal models are often computationally intractable limiting their scalability to high-dimensional data and complex scenarios. To address these limitations this master thesis will explore the combination of Large Language Model (LLM) agents with data-driven causal reasoning. The goal is to develop scalable and mathematically sound methods for Causal Machine Learning.

  • During your thesis you will study and implement new scalable methods within Causal Machine Learning.
  • You will collaborate with a global research team specialized in Causal Discovery Causal Inference and Root-Cause-Analysis.
  • Ideally your contribution will be part of a scientific publication and will have a real impact on Bosch use-cases.

Qualifications :

  • Education: Master studies in the field of Computer Science Mathematics Data Science Statistics Physics or comparable
  • Experience and Knowledge: strong programming skills in Python; solid mathematical skills; prior knowledge in Graphical Models is preferable
  • Personality and Working Practice: you excel at staying motivated in your tasks communicating effectively with team members and collaborating as a team player 
  • Languages: very good in English

Additional Information :

Start: according to prior agreement
Duration: 6 months

Requirement for this thesis is the enrollment at university. Please attach your CV transcript of records examination regulations and if indicated a valid work and residence permit.

Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore we welcome all applications regardless of gender age disability religion ethnic origin or sexual identity.

Need further information about the job
Nicholas Tagliapietra (Functional Department)
49 152
Jürgen Lüttin (Functional Department)
49 9

#LI-DNI


Remote Work :

No


Employment Type :

Full-time

Causal reasoning is one of the main challenges in AI and a core task in many scientific and engineering disciplines. Accurate causal models enable robust behavior in Out-of-Distribution scenarios which is essential for reliable inferences and Root-Cause-Analysis in real-world applications. However t...
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Bosch first started in Vietnam with a representative office in 1994. Bosch has its main office in Ho Chi Minh City, with branch offices in Hanoi and Da Nang, and a Powertrain Solutions plant in the Dong Nai province to manufacture pushbelt for continuously variable transmissions (CVT) ... View more

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