Your role
* Research and development:You will take strategic and scientific responsibility for the further development of the Machine Health Intelligence domain within the Institute for Data Science. As an independent investigator, you will establish and lead your own research line and actively acquire third-party funded research projects in collaboration with industrial and public partners. You will initiate, manage, and execute applied research and development projects in areas such as Intelligent Condition Monitoring, Predictive Maintenance, Machine Prognostics and Health Management (PHM), data-driven diagnostics, reliability engineering, and optimization-based decision support. You will publish your results in journals and present them in conferences (Innosuisse, EU, SNF, etc.).
* Teaching: You will design and deliver core and advanced courses at Bachelor's and Master's level. You will supervise project work, Bachelor's and Master's theses, and contribute to the continuous development of the study programs at the intersection of machine health and AI. You will contribute to the strategic development of continuing education formats, including CAS programs in Predictive Maintenance and related fields, and actively maintain a strong professional network across academia and industry.
* Collaboration: You will actively design the further development of the Machine Health Intelligence research team.
Your profile
* You have at least 3 years of experience in R&D in related fields, preferably in industry or the public infrastructure sector.
* You have demonstrated success in acquiring and managing externally funded research projects. A strong publication record in relevant journals and conferences is expected.
* You are passionate to transfer your knowledge and expertise to a next generation of engineers and data scientists, ideally with teaching experience in the higher education.
* You are fluent in English and German.
This is what we stand for
* Strong industry partnerships
* Applied research with real-world impact
* Academic freedom to shape your research line
* Interdisciplinary collaboration within data science and engineering
* Design and shaping of education programs at the intersection of data science and engineering
* A high degree of flexibility in working times
Das bieten wir an
Wir bieten hochschulgerechte Arbeits- und Anstellungsbedingungen an und fördern aktiv die Personalentwicklung unserer Mitarbeitenden und Führungspersonen. Eine detaillierte Beschreibung der Vorteile ist auf der Webseite zu finden. Hier die wichtigsten Eckpunkte:
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