Research Engineer - Knowledge Engineering and Machine Learning for Digital Twins (f/m/div.)

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

• Be part of our team and work on novel research topics combining semantic technologies (knowledge graphs) with machine learning and physical models.
• Together with domain experts from the business units, you will drive the application and implementation of these technologies in future Digital Twin applications in Industry and Mobility.
• You create awareness in the business units and enable colleagues to apply your research results.
• Last but not least, you collaborate with other Bosch researchers and relevant external research partners.

Qualifications

• Education: PhD in the field of Computer Science or a comparable field with proven track record
• Personality and working style: independent and communicative, with methodical and conceptual strength and creativity
• Experience und Know-how: very good understanding of data and data modelling, strong background in semantic technologies (RDF, SPARQL), knowledge graphs, practical experience in applying AI/ML methods to concrete industry problems, ideally in combination with semantic technologies, basic knowledge on Digital Twins and Cloud Technologies preferrable
• Enthusiasm: You enjoy working as a researcher in close collaboration with domain experts from the business units as well as software developers.
• Languages: very good written and spoken English skills

Additional Information

www.bosch.com/research
https://www.bosch-ai.com

Apply now in just 3 minutes!

Please submit all relevant documents (incl. curriculum vitae, certificates).

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?
Mirjam Steger (Functional Department)
+49 711 811 10832

Adrian Trachte (Functional Department)
+49 711 811 49397