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Institute of Computational Engineering and Sciences (CES)


The Institute of Computational Engineering and Sciences (CES) provides a means to link and rationalise research and education efforts across a wide range of disciplines by tackling common fundamental methodological hurdles involved in modelling, discretising, predicting, optimising, controlling and thereby understanding the physical world and increasingly complex technical systems. Built around an open-science and collaborative approach, CES will inspire and foster innovation and collaborative opportunities to ensure Luxembourg's international competitiveness and economic growth.


Computational Engineering and Sciences is a distinct discipline and is regarded as the third pillar underpinning today's engineering and science, complementing and extending Theory and Experimentation with powerful simulation and algorithmic approaches implemented in sophisticated scientific software and executed on high performance computing devices (HPC). More generally, Computational Sciences are about the application of computers to advance science, largely the modelling and simulating of the physical world.

The members of the Institute are amongst the key contributors to Computational and Data Sciences at UL. It already fosters multi-disciplinary research and education in core methodological skills, at the interface between engineering, mathematics, computational physics and computer science. The main scope is to create a platform where the above traditional disciplines are integrated and enhanced within a unified framework.

The aim of CES is to contribute as an internationally renowned institute specialised in methodological research in Computational Engineering and Sciences. By focusing on fundamental research - while keeping a link to different applied science domains and industrial applications - we continue to foster a nimble, sustainable and adaptive economy and provide general methodologies on which to strengthen existing and to build future priority application areas of national importance.