
methodology
methodology

are reliable and safe
are reliable and safe

optimization and control
optimization and control
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jobs
We are hiring...
We are looking for entusiastic and highly motivated Early Stage Researchers (ESR) to join our team to develop grey-box modelling approaches to shape the future of intelligent mobility systems. [Applications deadline: 31/03/2021]

latest nws
Latest News from
Greydient
Newsletter
A newsletter about the project is available, the first edition has already been distributed!It will
Second hiring campaign
The ESR position 7 is sill open, learn more about it on the ESRs page and on Euraxess!
14 ESRs hired!
The first recruitment campaign has been a great success with about 300 applicants. We are now very p




"With GREYDIENT, we want to push the state of the art in grey-box modelling. Whereas so far, endeavours to improve the reliability and robustness of components, processes and systems have focused on using either data-driven black-box methods or first-principle white-box techniques, we believe the future lies in their optimal combination: grey-boxes."
KU LEUVEN
Dr. Matthias Faes
"For a sustainable World, we have the honest duty of designing and operating systems and infrastructures in a way that they are reliable and safe. Our World is a VUCA World-Vulnerable, Uncertain, Complex and Ambiguous. Then, the solutions to our problems cannot be black or white: they must be inevitably grey. In this project, we aim at advancing, with a big leap, the grey-box modeling capability for uncertainty quantification (UQ) and reliability assessment (RA), to the benefit of reliable and safe design and operation of systems and infrastructures."
POLITECNICO DI MILANO
Prof. Dr. Enrico Zio
"GREYDIENT is a unique opportunity for us to engage in this emerging field at the boundary of machine learning for data science and scientific computing for uncertainty quantification. The Consortium led by KU Leuven gathers both top European academic institutions in the field of uncertainty quantification and reliability of systems and major tech companies. This will allow us to develop new solutions that are truly applicable by the automotive and aerospace industry."