Research project title
Digital twins to predict and enhance machine tool precision
Education level
Master or doctorate
Director/co-director
Director: René Mayer
End of display
May 31, 2025
Areas of expertise
Mechanical systems and instrumentation
Secondary sphere(s) of excellence in research
Industry of the Future and Digital Society
Modeling and Artificial Intelligence
Unit(s) and department(s)
Department of Mechanical Engineering
Virtual Manufacturing Research Laboratory
Conditions
Motivated and innovating with solid academic dredentials and strong capacity to handle complex challenges. To hold a bachelor's or master's degree in mechanical engineering, physics engineering, physics, applied mathematics or in a related field.
The search for candidates will proceed until all positions are fulfilled.
Detailed description
The project addresses the development of digital twins and the compensation of machine tool errors in order to ensure the quality of produced parts and the anticipation of machine degradations. The laboratory (LRFV) has industrial grade five-axis machine tools and the necessary instrumentation to conduct the project's advanced research. Experienced technicians will assist with the experimental work.
Financing possibility
Full bursary at the recommended levels by the school is available for suitable candidates.
René Mayer
Full Professor
