Job details

Zurich University of Applied Sciences ZHAW is one of Switzerland’s largest multidisciplinary universities of applied sciences, with over 12,000 students and 3,000 faculty and staff.
As one of the leading Engineering Faculties in Switzerland, the ZHAW School of Engineering (SoE)emphasises topics which will be relevant in the future. Our 13 institutes and centres guarantee superior-quality education, research and development with an emphasis on the areas of energy, mobility and health.
The Institute of Data Analysis and Process Design (IDP)is focusing on analysis, modelling and optimization of complex technical, social, economic and environmental systems. We are currently looking for a

Research Associate in data-driven predictive maintenance of industrial assets (80 - 100 %)

As a successful candidate you will contribute your expertise to our applied research projects in the field of predictive maintenance of industrial assets. Your tasks will include:

  • Developing, evaluating and implementing procedures, analytical models and algorithms for detection, diagnostics and prognostics of impending failures for industrial assets based on operation, condition monitoring, maintenance and failure data
  • Combining engineering knowledge with predictive analytics
  • Executing and taking responsibility of R&D activities in cooperation with our industrial partners.

We are looking for applicants with degree (MSc or PhD) in engineering, applied mathematics or physics. Experience in predictive maintenance, machine and deep learning is beneficial. Programming experience is required; preferably in python. Fluent command of English (both written and spoken) is mandatory and knowledge in German is beneficial. We encourage applications from proactive and self-motivated candidates with strong problem solving abilities, good communication skills and out-of-the-box thinking. The collaboration with industrial partners in interdisciplinary innovative research projects will provide an exciting and rewarding working environment.

Do you have any questions about this position?
For more information, please contact Dr. Olga Fink, Senior Lecturer, Tel. +41 58 934 4952, E-Mail: or visit
Are you interested?
If you would like to apply, please use the online platform to send us your complete application, attn. Regina Peil, HR Consultant, at Winterthur.
ZHAW is an equal opportunity employer and encourages particularly female applicants to apply.