Company Description
At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.
The Robert Bosch GmbH is looking forward to your application!
Job Description
- As part of your doctorate, you will develop active learning algorithms that can be used in a software package to apply root cause analyses to only partially labeled data
- The algorithms you develop will be used, among other things, to find causes or prevent anomalies in development and production
- You will focus on the development and investigation of different active learning approaches and test them against comparable methods and baseline models
- You will familiarize yourself with the current literature on Active Learning / Bayesian Active Learning and use the existing tech stack, as well as other open source packages, to develop algorithms that improve test times and model predictions for MEMS sensors
Qualifications
- Education:Master's degree in computer science, electrical engineering, mechatronics, physics, mathematics, cybernetics, artificial intelligence and data science or similar
- Experience and Knowledge: Good knowledge of Python, basic knowledge of software development, good understanding of frequentist and Bayesian statistics, good knowledge of machine learning methods, initial experience in the field of active learning and the processing of real use cases desirable
- Qualifications: Eligible for a doctorate
- Personality and Working Practice: communicative, committed, independent, enthusiastic
- Enthusiasm: High interest in complex tasks from data-driven product development with state-of-the-art infrastructure, as well as mathematical active learning models
- Languages: Very good knowledge of German, good knowledge of written and spoken English
Additional Information
The final PhD topic is subject to your university.
Start: according to prior agreement
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 support during your application?
Michelle Kurz
+49 7121 35-33122
Need further information about the job?
Ivan Marevic
+49 7121 35-31168
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