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Position: Research Assistant in Smart Maintenance
Institution: Zürcher Hochschule für Angewandte Wissenschaften
Location: Winterthur, Zürich, Switzerland
Duties: The Smart Maintenance Team of the ZHAW develops solutions for intelligent condition monitoring, fault detection, diagnostics and prognostics of technical equipment. Our focus is on implementing state-of-the-art research ideas in real operational systems. As a member of our research team, you will take part in applied research projects in close collaboration with our industry partners in the field of condition based and predictive maintenance. Your tasks will include: Developing and implementing data-driven algorithms for detection, diagnostics and prognostics of incipient failures in industrial assets and infrastructures; Developing innovative approaches using state of the art statistical, machine learning and deep learning methods; Combining engineering knowledge with data science techniques; Executing and taking responsibility of R&D activities in collaboration with our industry partners; Possibly participating in teaching assistance for statistics courses
Requirements: Highly motivated candidate with an MSc or PhD degree in engineering, computer science, statistics, applied mathematics, physics or related field; Programming experience in Python. Experience with TensorFlow and Keras/PyTorch is advantageous; Experience with applying data analytical and machine learning methods; Experience with deep leaning algorithms is advantageous; Fluency in English (both written and spoken) and preferably also in German; We encourage applications from proactive and self-motivated candidates with analytical thinking and strong problem-solving passion and abilities, good communication skills and original thinking
   
Text: Research Assistant in Smart Maintenance 80 - 100 % As part of our team you will enjoy an exciting and rewarding working environment, combining close industrial collaboration with multidisciplinary innovative research. The position is limited to one year but may be extended, up to a maximum period of three years. School: School of Engineering Starting date: 01.09.2022 Your role The Smart Maintenance Team of the ZHAW develops solutions for intelligent condition monitoring, fault detection, diagnostics and prognostics of technical equipment. Our focus is on implementing state-of-the-art research ideas in real operational systems. As a member of our research team, you will take part in applied research projects in close collaboration with our industry partners in the field of condition based and predictive maintenance. Your tasks will include: Developing and implementing data-driven algorithms for detection, diagnostics and prognostics of incipient failures in industrial assets and infrastructures. Developing innovative approaches using state of the art statistical, machine learning and deep learning methods. Combining engineering knowledge with data science techniques. Executing and taking responsibility of R&D activities in collaboration with our industry partners. Possibly participating in teaching assistance for statistics courses. Your profile Highly motivated candidate with an MSc or PhD degree in engineering, computer science, statistics, applied mathematics, physics or related field. Programming experience in Python. Experience with TensorFlow and Keras/PyTorch is advantageous. Experience with applying data analytical and machine learning methods. Experience with deep leaning algorithms is advantageous. Fluency in English (both written and spoken) and preferably also in German. We encourage applications from proactive and self-motivated candidates with analytical thinking and strong problem-solving passion and abilities, good communication skills and original thinking. Jetzt online bewerben ­ This is what we stand for Zurich University of Applied Sciences ZHAW is one of Switzerland's largest multidisciplinary universities of applied sciences, with over 14'000 students and 3'400 faculty and staff. As one of the leading Engineering Faculties in Switzerland, the ZHAW emphasizes topics which will be relevant in the future. Our 13 institutes and centers guarantee superior-quality education, research, and development with a focus on the areas of energy, mobility, information, and health. The is a center of competence for the development and ap-plication of quantitative methods in the areas of data analysis and operations research. IDP is currently looking for an Das dürfen Sie erwarten Wir bieten hochschulgerechte Arbeits- und Anstellungsbedingungen und fördern aktiv die Personalentwicklung unserer Mitarbeitenden und Führungspersonen. Eine detaillierte Beschreibung der Vorteile finden Sie auf der Seite . Hier die wichtigsten Eckpunkte: Contact Dr. Lilach Goren Huber Wiss. Mitarbeiter/in Nadine Müller Recruiting Manager 2022-05-24 Temporary ZHAW Zürcher Hochschule für Angewandte Wissenschaften Winterthur Region of Winterthur/Schaffhausen 8401
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