PhD – Hybrid AI for Industry 4.0: Combining Knowledge Representation and Reasoning with Machine Learning
Renningen, BW, de
vor 5 Tg.

Job Description

Artificial Intelligence (AI) is one of the central pillars of Industry 4.0 and Internet of Things, a global trend towards smart and highly automated factories.

AI empower manufacturing by representing physical equipment and processes with digital representations - Digital Twins - that allow production simulation, process monitoring, analytics and optimization.

Development of such AI solutions is complex and highly demanding. Moreover, existing AI solutions are often developed ad hoc and tailored to individual use cases.

This is not sufficient for the context of Industry 4.0. Thus, there is a pressing need for methods and systems to lower the complexity bar of AI development for industry and to make AI solutions more reusable, more accessible to a wider set of stakeholders and more collaborative.

  • The purpose of this PhD research project is to address these needs with Hybrid AI by combining Neuro and Symbolic AI methods.
  • Symbolic AI, including Knowledge Representation and Reasoning, Knowledge Graphs, ontologies and rules, allows to formally define Digital Twins and capture manufacturing domain knowledge, analytical routines, ML modules and pipelines.

    Neuro AI, including Machine Learning (ML), knowledge embedding, and knowledge discovery, allows to enhance and adapt these Digital Twins to various application scenarios and to learn patterns in existing ML pipelines, generalize example sets of ML solutions or to search for the optimum in a space of parametrized ML solutions.

    Such Hybrid AI approaches and Industry 4.0 context give a great variety of challenging research topics for PhD candidates.

    The topics 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 comparable subject
  • Personality : Self-motivated, open-minded and inter-cultural team player with good communication and presentation skills
  • Working Practice : Result-oriented and ability to work both independently and within a team environment
  • Experience and Knowledge : Profound experience in knowledge representation and reasoning, in particular, description logics and ontology reasoning, experience with knowledge engineering and data integration as well as experience with machine learning and respective state-of-the-art toolkits (e.
  • g. Tensorflow / Pytorch), proven programming skills (e.g. Python / Java / C++), experience in writing scientific publications is a plus

  • Languages : fluent in English (written and spoken)
  • Additional Information

    You will be affiliated with the Bosch Center for Artificial Intelligence and with a top European university to obtain a PhD degree.

    The final PhD topic is subject to your university. Duration : 3 years

    Please submit all relevant documents (incl. curriculum vitae, transcripts, statement of interest and motivation letter).

    Apply now in just 3 minutes!

    Are you interested in working from home, or part-time? Please don't hesitate to ask 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
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