Science 4 Refugees

Doctoral candidate (PhD-Student) in Civil Engineering (M/F)

    University of Luxembourg
    First Stage Researcher (R1)
    15/03/2020 23:00 - Europe/Brussels
    Luxembourg › Luxembourg

The University of Luxembourg is a multilingual, international research University.


The University of Luxembourg is looking for its Faculty of Science, Technology and Communication (FSTC) for a:


Doctoral candidate (PhD-Student) in Civil Engineering (M/F)



Condition assessment of bridge structures with the DAD-Method using most modern measurement techniques such as photogrammetry and drones


  • Ref : F1-080005a
  • Fixed-term 14 months initial contract, extendable up to 48 months in total
  • Full-time (40 hours/week)
  • Starting date: 1st of June 2020
  • Student AND Employee status


The successful applicant will be integrated in the research group LSS, a research group which currently counts six doctoral students and two PostDocs. The doctoral student will be a member of the Doctoral School for Science and Engineering (DSSE) offering a Doctoral Program in Civil Engineering Sciences aiming to provide interdisciplinary and internationally competitive research training.


Description of your role

In our regions, bridges are becoming increasingly older, being in parallel confronted nowadays to an increasing traffic level as well as to a constant increase of the proportion of heavy trucks. Therefore, the condition assessment of bridge structures is particularly important. The present research work aims to develop further an efficient new method for condition assessment called the Deformation Area Difference (DAD) Method and to combine it with modern digital methods such as photogrammetry and drones. This new method represents a powerful alternative to visual inspection and long-term monitoring by simplifying and automatizing the process.

The proposed DAD-Method is based on conventional static load deflection tests. It allows the localization of stiffness-reducing damage on a bridge structure by using a very precise measurement of its deflection line and by combining this outcome to a deflection line generated by a simplified finite element model of the bridge. In order to investigate the condition of a bridge by the DAD-Method modern measurement techniques such as photogrammetry and laser scanning are used. In the framework of the conducted research, these techniques are also compared to traditional measurement systems such as total station and inductive displacement sensors as well as to digital levelling sensors. By theoretical examples and experimental laboratory tests as well as in situ bridge tests, the method has already proven to be able to detect and localize damage when the damage level is dominating measurement noise. The output of this research can be found in literature.

In the new PhD research work, the method will be further developed by using autonomous flying drone.

The project is realized in collaboration with the Luxembourgish Bridge and Road Administration Ponts & Chaussées Luxembourg.



Your Mission

  • Research on condition assessment of bridge structures using photogrammetry and drones
  • Disseminate results through scientific publications and talks at conferences
  • Obtain a PhD in Engineering Science
  • Limited teaching activity of 1h per week


For more information please contact professor D. Waldmann (Tel: +352 46 66 44 5279, daniele.waldmann@uni.lu) or check the website: URL: http://www.uni.lu


Your Profile

  • Master-degree in Civil Engineering
  • Profound knowledge in Structural Engineering
  • Language: High Level of German, English is a must
  • Willingness to inscribe as PhD-student at the University of Luxembourg


Further information

Applications (Motivation letter including CV, PDF of MSc graduation project, copies of diplomas including full list of marks) are to be uploaded no later than 15th of March 2020. Only complete applications will be considered. The University of Luxembourg is an equal opportunity employer. All applications will be treated in the strictest confidence.


Link: http://emea3.mrted.ly/2e1k7



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University of Luxembourg

EURAXESS offer ID: 482107


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