PhD – Hybrid AI for Industry 4.0: Semantic Modelling with Ontologies and Knowledge Graphs

Key Skills

Aartificial intelligence, C++, Effective communication skills, English Proficiency, Java Programming, Knowledge graph, Machine learning techniques, Presentation skills, Python Programming

Job 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!

Artificial Intelligence (AI) is one of the central pillars of Industry 4.0 and Internet of Things in the global trend towards smart and highly-digitalized factories. An important approach here is to use symbolic AI, including ontologies or semantic Digital Twins, to represent experts’ knowledge, physical equipment and processes as unified conceptual Semantic Models. They in turn allow to integrate heterogeneous industrial data as uniform Knowledge Graphs. On top of ontologies and Knowledge Graphs, one can develop a wide range of AI solutions for production simulation, process monitoring, analytics and optimization. This can be achieved by combining symbolic reasoning and numeric AI methods, like Machine Learning, in hybrid AI solutions. Bosch Center for AI is active in developing such novel hybrid AI methods and systems and also in applying them in Bosch factories.

The purpose of this PhD research project is three-fold. First, the PhD candidate will be looking into the problem of good practices, standards, and templates in developing high quality industrial Semantic Models. Second, the PhD candidate will investigate quality metrics for ontologies and Knowledge Graphs and how to validate or improve them against the metrics. Third, the PhD candidate will investigate novel Semantic Models that allow to account not only for experts’ knowledge and specifications of equipment and processes, but also for simulation, Machine Learning, and various cost/cloud models. Semantic modelling and the context of Industry 4.0 allow for research topics that range from foundational to applied and give a great opportunity to do top-tier research and publish at top-tier venues as well as to test and evaluate novel techniques and methods in real industrial scenarios of Bosch.

PhD candidates will enjoy top quality inspiring research in an enthusiastic international environment of researchers, other PhD candidates, and industrial professionals from Bosch and its partners, in particular from the SIRIUS research centre at the University of Oslo.

Qualifications

• Education: excellent master degree in computer science (or related field)
• Personality: team player, self-motivated. inter-cultural, cross-domain proficiency,can-do attitute, good communication and presentation skills
• Working Practice: independently and within a team environment
• Experience and Knowledge:
• Experience with knowledge engineering and data integration
• Experience with machine learning and respective state-of-the-art toolkits
• Proven programming skills, e.g., Python/Java/C++
• Experience in writing scientific publications is a plus
• Languages: strong English, and academic writing skills

Additional Information

www.bosch.com/research

https://www.bosch-ai.com

Apply now in just 3 minutes!

• You will be affiliated with the Bosch Center for Artificial Intelligence (https://www.bosch-ai.com)
• You will be affiliated with a top European university to obtain a PhD degree
• The final PhD topic and university advisor are subject to further discussion
• Duration: 3 years
• Please submit all relevant documents: CV, transcripts, statement of interest, motivation letter, reference letters (optional).

You want to work remotly 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?

Kevin Heiner (Human Resources)

+49 711 811 12223

Need further information about the job?

Evgeny Kharlamov (Functional Department)

+49 711 811 53155