PhD candidate in Machine Learning for Digital Twin in Aerospace Industry

Updated: 5 days ago
Deadline: ;

The University of Luxembourg seeks to hire outstanding researchers at its Interdisciplinary Centre for Security, Reliability and Trust(SnT), in the SERVAL team under Prof. Le Traon (http://wwwfr.uni.lu/snt/research/serval ). SnT is carrying out interdisciplinary research in secure, reliable and trustworthy ICT (Information and Communication Technologies) systems and services, often in collaboration with industrial, governmental or international partners.  SnT is active in several international research projects funded by national, European and international research programmes (e.g., FNR, Horizon Europe). For further information you may check: https://www.uni.lu/snt

We’re looking for people driven by excellence, excited about innovation, and looking to make a difference. If this sounds like you, you’ve come to the right place!

The aerospace industry is committed to improving the vehicle’s life cycle management due to the long vehicle life cycle (more than 40 years including production, manufacturing and in service). Digital Twin is recognised (e.g., by Boeing, Airbus, GE Company, NASA, EASA) to have the potential to enable effective life cycle management tools, by providing an iterative closed-loop process that integrates all different stages of air vehicles, from design, manufacturing to operation and maintenance (O&M) until their end of life. Although aerospace industry is data-rich, the data is currently not connected to Digital Twin platforms, and thus optimal load monitoring and effective fault diagnosis cannot be achieved. To solve part of this challenge, the AVATAR project, standing for “Digital Twin for Transformative Air Vehicle with IoT sensors Towards Safer Skies”, has been granted by the European Commission (under the Horizon Europe programme) to investigate and develop a new Digital Twin platform. This platform will consist of a new “smart skin” (fitted with a high density of sensors of different types) designed and manufactured by the Danish Technological Institute (Denmark), which will then be deployed, tested and validated through wind tunnel testing and by real flight tests of EVEKTOR’s ultralight Cobra airplane (Czech Republic) and Nordic Wing’s Astero electric unmanned aircraft (Denmark).


View or Apply

Similar Positions