Current post-earthquake assessment procedures rely on visual assessments by specialists. Such an assessment is time consuming, qualitative rather than quantitative and often only poorly documented due to time constraints. For this reason, an automated, image-based assessment procedure is currently developed that provides as output models that can be used to predict quantitatively the expected behaviour of the damaged structure in a future earthquake. The objective of this PhD project is to provide a framework for considering explicitly the many sources of uncertainty within this process. These include in particular but not exclusively the material properties, the translation of images into finite element models as well as the interpretation of the damage features and their effect on mechanical properties. The study will concentrate on the assessment of stone masonry buildings. The PhD project will be supervised by Prof. Ian Smith and Prof. Katrin Beyer.
Your Profile: You have a Master’s Degree in civil or structural engineering. A strong background in structural analysis is required. Knowledge in uncertainty quantification, earthquake engineering and structural masonry is of advantage but not mandatory. You are proficient in spoken and written English. You have good programming skills in Python or similar.
We offer: We are offering excellent research facilities and a competitive salary. The EPFL offers an outstanding international ecosystem full of training and development opportunities. The PhD student will be enrolled in the Doctoral Program in Civil and Environmental Engineering (EDCE). More information on PhD studies at EPFL can be found here.
Application Procedure: Application Procedure: If you are interested in this position, please send your motivation letter, CV, contact details of three referees and all university records as a single pdf-file to Prof. Katrin Beyer ([email protected]). The position is open until filled.