荷语区鲁汶大学

PhD in Health Monitoring of Aircraft Structures and Systems

项目介绍

Applications are invited for a PhD fellowship. This PhD is situated in a joint project between the Departments of Mechanical and Materials Engineering of the KU Leuven – Campus Ghent, to fully cover materials as well as operational aspects. The successful candidate will be affiliated with the renowned “Mecha(tro)nic System Dynamics” and “Materials Performance and Nondestructive Testing” Divisions of the KU Leuven.

Project

Project description: Structural failure in the aerospace sector can be life threatening for users/passengers and financially catastrophic for operators and the manufacturer. This is the main reason for which a large part of an aircraft’s lifecycle operation cost is spent for inspecting its structural integrity on the ground. On-line detection, autonomous and characterization of failures within aircraft structures can lead to a radical reduction of this cost while increasing safety.
As a project aiming at industrial implementation, there is a distinguished industrial advisory group in place, whose members, such as Brussels Airlines support the work and can be a potential partners for further valorisation.

Profiel

The successful candidate will be expected to make significant contributions to the development of robust monitoring and damage assessment tools for complex industrial structures. Applicants having an appropriate background in natural or engineering sciences should be able to demonstrate consistent knowledge in areas such as structural monitoring and/or engineering mechanics and/or numerical modelling and/or data post-processing. The research activities will be performed within the research groups active at the KU Leuven Ghent Campus.

Aanbod

This funding call is open to all EU and International applicants. 
Keywords: Digital Image Correlation, Experimental and Computational Mechanics, Ultrasound and Vibration, Aircraft Structures, Damage Assessment, Structural Health Monitoring, Structural Health Prognosis, Bayesian Statistics, Machine Learning

Interesse

Informal enquiries prior to making an application should be addressed along with a detailed CV to Prof. Dimitrios Chronopoulos, mail: dimitrios.chronopoulos@kuleuven.be AND Prof. Sam Coppieters, mail: sam.coppieters@kuleuven.be.You can apply for this job no later than April 01, 2025 via the online application tool

KU Leuven strives for an inclusive, respectful and socially safe environment. We embrace diversity among individuals and groups as an asset. Open dialogue and differences in perspective are essential for an ambitious research and educational environment. In our commitment to equal opportunity, we recognize the consequences of historical inequalities. We do not accept any form of discrimination based on, but not limited to, gender identity and expression, sexual orientation, age, ethnic or national background, skin colour, religious and philosophical diversity, neurodivergence, employment disability, health, or socioeconomic status. For questions about accessibility or support offered, we are happy to assist you at this email address.

Heb je een vraag over de online sollicitatieprocedure? Raadpleeg onze veelgestelde vragen of stuur een e-mail naar solliciteren@kuleuven.be

项目概览

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欧洲, 比利时 所在地点
带薪岗位制 项目类别
截止日期 2025-04-01
荷语区鲁汶大学

院校简介

鲁汶大学是比利时久负盛名的世界百强名校。
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联系方式

电话: +32 16 324010

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