Applications are invited for a fixed-term position in the Faculty of Engineering as
Funded by the Free State of Bavaria through the R&D programme “Cooperative Autonomous Intralogistics Systems (KANIS)” the University of Applied Sciences Aschaffenburg investigates in cooperation with the private company Linde Material Handling the application of machine learning techniques for predictive maintenance of industrial trucks. Our goal is to correlate operating and sensor data with health status information to derive early indicators for failure and to extend tailored service intervals. Such approaches can be improved by hybrid physics based and data driven solutions. We include pre-existing knowledge on the functioning of the industrial trucks to develop contributions towards a model and data based digital twin and make new mechanistic (physics inspired) machine learning approaches available for predictive maintenance applications.
The University of Applied Sciences Aschaffenburg highly appreciates the applications of women. Part-time appointment is possible as long as the projects can be realised via job-sharing within the foreseen time period. Handicapped people are asked to submit relevant formal proof (Schwerbehindertenausweis) and are given preference in the case of otherwise practically equal aptitude, qualifications and professional achievements.
Interested? Please apply presenting the usual documents (CV, copies of certificates, motivational letter of not more than two pages in German or English) through the online portal https://stellen.th-ab.de until 12th of December 2021.
Please note: Only the German-language version of the job posting is legally binding. This can be found on our website at https://stellen.th-ab.de. This English translation of the official job advertisement in German is a courtesy for applicants. Certified translations into German of relevant documents will be needed when an employment offer is made.
All legally binding terms are defined in German only. Assistance will be provided to deal with documents and forms in German language for the successful candidate.
Information on data protection is available at: https://www.th-ab.de/ueber-uns/stellenangebote/
Technische Hochschule Aschaffenburg
Würzburger Str. 45