PhD in the field of data science in MEMS development – active learning for sensor characterization, test optimization and root cause analysis (f/m/div.)

Bosch Gruppe

Jobbeschreibung

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!


Employment type: Limited
Working hours: Full-Time
Joblocation: Reutlingen
  • 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

  • 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

  • Work-life balance: Flexible working in terms of time, place and working model.
  • Health & Sport: Wide range of health and sports activities.
  • Childcare: Intermediary service for childcare services.
  • Employee discounts: Discounts for employees.
  • Room for creativity: Space for creative work.
  • In-house social counseling and care services: Social counselling and intermediary service for care services.

The recruitment contact or superior will be happy to provide information about the individual benefit plan.

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