PhD - Structural Health Monitoring and Predictive Maintenance of Complex Systems including Composites and 3D Printed Structures
KU Leuven consistently ranks among the top 50 universities in the world by major ranking tables with the Department of Mechanical Engineering being ranked amongst the 40 best worldwide.
For three years in a row, Thomson Reuters ranked KU Leuven as Europe's most innovative university, with its researchers having patented more products than any other university in Europe.
For more information please contact Prof. dr. ir. Dimitrios Chronopoulos, tel.: +32 9 310 25 41, mail: firstname.lastname@example.org.
You can apply for this job no later than April 30, 2023 via the online application tool
KU Leuven seeks to foster an environment where all talents can flourish, regardless of gender, age, cultural background, nationality or impairments. If you have any questions relating to accessibility or support, please contact us at diversiteit.HR@kuleuven.be.
SectorElectronics & Engineering
Project description: Structural failure in the aerospace, civil and energy sectors can be life threatening for users/passengers and financially catastrophic for operators and the manufacturer. This is the main reason for which critical structures (i.e. aircrafts, wind turbines etc.) spend large part of their life cycle under inspection with the accompanied costs being significant. On-line detection and characterization of minor failures within complex (composite as well as 3D printed) structures can lead to a radical reduction of this cost and eventually cheaper and safer transport and energy production.
- Applications are invited for a fully funded, full-time PhD post within the Department of Mechanical Engineering of the University. The successful candidate will be affiliated and work within the renowned Noise and Vibration Research Group of KU Leuven. She/He will be based at the Ghent Technology Campus with regular visits and full access to equipment at the main campus in Leuven.
- The successful candidate will be expected to make significant contributions to the development of robust damage identification tools for complex industrial structures. Applicants should be able to demonstrate consistent knowledge in the areas of engineering dynamics and/or numerical modelling and/or data post-processing.
- This funding call is open to all EU and International applicants.
- Keywords: Structural Health Monitoring, Ultrasound and Vibration, Composites, 3D Printed Structures, Damage, Identification, Structural Health Prognosis, Bayesian Statistics, Machine Learning
The contract is offered initially for 1 year with an extension up to 4 years after a positive evaluation. Applications should be submitted through KU Leuven’s online platform with detailed CV, short motivation letter and degree transcripts attached.
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