PhD - Online Machine Learning

  • Robert-Bosch-Campus 1, 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

Most of probabilistic machine learning models are trained in a batch setting, i.e. learning in an offline manner using pre-collected data, while employing excessive computational resources. In order to take full advantage of a learning approach, online learning is an absolute necessity, as it allows the adaption to changes in the system dynamics and environment. Furthermore, an offline training data set will never suffice for most systems with a large number of degrees of freedom and, thus, online learning is essential, if the sampled data leads to new parts of the state-space. In this research work, we want to explore novel online learning techniques appropriate for industrial setting.

  • We are looking for exceptionally talented PhD students who are looking to tackle difficult research problems that have relevance to real world applications.
  • During the course of the thesis you will tackle research questions in the field of Bayesian machine learning in an online setting.


  • Master of Science in natural sciences, e.g. Machine Learning, Computer Science, Mathematics, Physics, Cybernetics
  • (Very) good grades
  • Knowledge of and practical experience in Machine Learning is a plus
  • Strong knowledge of Python or Matlab
  • Independence and strong intrinisic motivation
  • Strong English language skills

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?
The-Duy Nguyen-Tuong (Business Department)
+49 711 811 49408

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