- Our Research Campus in Renningen is an international resource for research and development, Cross-Domain Computing Solutions and the Bosch Center for Artificial Intelligence. The workers who work in the world will find work in the future. Since those ideas for optimal research could be developed, the campus is a network of new communication and inspiration, and the creative boundaries have been established. We share our love for innovation and innovation.
PhD – Hybrid AI for Industry 4.0: Semantic Modelling with Ontologies and Knowledge Graphs
- Publication date
- Closing date
- Level of education
- 2023
- Until filled
- PhD or Master’s
Roles & responsibilities
- 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
Requirements
We offer
Our research campus in Renningen forms the international hub of our research and advanced engineering, cross-domain computing solutions and Bosch Center for Artificial Intelligence departments. Employees from all over the world are working to find answers to the questions of the day after tomorrow. So that the ideas of our researchers can develop optimally, the campus is a network of short distances between communication and inspiration, where creativity knows no bounds. Do you also want to shape the future? We look forward to your curiosity and innovative spirit.
You want to work remotely or part-time – we offer great opportunities for mobile working as well as different part-time models or job-sharing. Feel free to contact us.
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.