PhD – Probabilistic Generative Models for Dynamical Systems

  • Robert-Bosch-Campus 1, 71272 Renningen, Germany
  • Full-time
  • Legal Entity: Robert Bosch GmbH

Company Description

Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology – with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.

The Robert Bosch GmbH is looking forward to your application!

Job Description


  • Create something new: You develop the mathematical taxonomy of dynamical system models based on dynamical system properties typically considered in the literature.
  • Help shape the future: You implement a set of generative models and their application as benchmark problems.
  • Take responsibility: You are involved in literature scouting and building close contact to the academic community including collaborations.
  • Integrated implementation: You are responsible for publications in top-tier conferences and journals.
  • Experience cooperation: You lead technical discussions within the Bosch Center for Artificial Intelligence (BCAI) research team and you are the supervision of Master students.


  • Personality: confident, independent and own responsible
  • Working Practice: strong teamplayer and strong intrinsic motivated
  • Experience and Knowledge: basic experience with mathematical modelling, strong mathematical background, ideally with experience in dynamical systems theory
  • Qualifications: strong programming skills in Python or Matlab, ideally with experience in probabilistic modelling
  • Languages: good English skills
  • Education: Master of Science in Machine Learning, Mathematics, Computer Science, Physics, Engineering or related fields

Additional Information

Duration: 3 years
The final Phd topic is subject to your university.                                                                                   

Need support during your application?
Kevin Heiner (Human Resources)
+49 711 811 12223  

Need further information about the job?
Michael Schober (Functional Department)
+49 711 811 31495

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