Research Scientist - System Health Monitoring / (Self-)Adaptation for Autonomous Systems (f/m/div.)

Renningen, Germany

Applications have closed

Bosch Group

Moving stories and inspiring interviews. Experience the meaning of "invented for life" by Bosch completely new. Visit our international website.

View company page

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

Bosch Research works on innovative mobile robotics in close collaboration with Bosch's business units. We are a multidisciplinary group of engineers, designers, and human factors experts that are passionate about improving people's lifes. As research engineer on health monitoring for autonomous systems, your objective will be to provide step changes in robot robustness through monitoring during operation, up to and including adaptation behaviors.
This stretches all the way from internal monitoring, e.g. detecting or preventing errors before the user does, to identifying new feature opportunities based on actual usage and more. You will have opportunity to work closely with both research and product teams, as well as the academic research community. We value creative solutions and a strong bias to action, always grounded in our data-centric DevOps mindset.

  • In our team you will identify opportunites for improving robots based on usage data (as outlined above) and drive their realization and adoption.
  • Furthermore, you will realize prototypes for monitoring, analysis and use of system health-related data, and collaborate with our product teams to bring them to production.
  • You will shape and contribute foundational health measurement and debugging tools for open-source robotics frameworks, particularly ROS 2. 
  • Last but not least, you will publish scientific papers at top-tier conferences and journals on software and systems engineering.

Qualifications

  • Education: PhD in Software Engineering or in Robotics with an emphasis on system topics, alternatively excellent MSc degree plus several years work experience on system-related topics
  • Personality and Working Practice: innovative, structured and cooperative with strong bias to action and the ability to follow through challenging tasks
  • Experience and Knowledge: research experience in software system engineering, particularly regarding monitoring and adaptation, excellent software engineering skills, particularly regarding systems integration and performance, experience with data analytics and visualization, prior experience with ROS 2 or embedded systems is a plus
  • Enthusiasm: passion for systems that fulfill user needs reliably
  • Languages: business fluent in English (written and spoken), German is a plus

Additional Information

Bosch Research
Bosch Center for Artificial Intelligence (BCAI)

Please submit all relevant documents (CV, letter of motivation, certificates, and links to GitHub/kaggle or similar account).

You want to work remotely or part-time - we offer great opportunities for mobile working as well as different part-time models. Feel free to contact us.

Need support during your application?
Kathrin Stipak (Human Resources)
+49(711)811-38015

Need further information about the job?
Ingo Luetkebohle (Functional Department)
+49(711)811-12248

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Data Analytics DevOps Engineering GitHub PhD Research Robotics Spark

Perks/benefits: Conferences

Region: Europe
Country: Germany
Job stats:  10  1  0

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.