[Opt-Net] PhD Position in AI for Predictive Maintenance of Turbomachinery at Czech Technical University

[kunguvya at fel.cvut.cz]

The Research and Teaching Institute Plzen (VZU) and Czech Technical  
University in Prague (CVUT) are looking to recruit a PhD student for  
performing research on turbomachinery and decarbonization technology.

The student will be supervised by Vyacheslav Kungurtsev at CVUT and  
co-supervised by Zdeněk Kubín at VZU and will focus on AI-enhanced  
computational techniques for modeling and innovating turbomachinery  
technology prioritizing decarbonization for the enhancement of the  
clean energy transition across Europe. The project will be funded and  
based primarily at CTU, with regular visits to VZU and associated  
labs. Research will focus on the use of contemporary techniques of  
incorporating inductive bias based on scientific, e.g. physics,  
fundamentals, in neural models in order to establish a data driven  
digital twin of the machinery. This includes Physics Informed Neural  
Networks as well as other contemporary strategies. The student is  
expected to develop a digital twin of a representative device to  
facilitate improved predictive maintenance.

In addition we encourage the application to apply for three years by  
the ASME IGTI-4-CEE Program, an initiative to advance the research in  
Central and Eastern Europe towards the mission and vision of  
technological development towards decarbonization.

Participation in the Turbo Expo and broad turbomachinery research  
community in the EU will be emphasized. The position is available  
effective immediately.

Motivated students with a Masters degree in Engineering, Computer  
Science, or similar, are encouraged to apply by referencing this ad  
and sending a CV and interest statement to both Vyacheslav Kungurtsev,  
vyacheslav.kungurtsev at fel.cvut.cz and Zdeněk Kubín, kubin at vzuplzen.cz