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Computer vision techniques for forensic engineering and damage assessment in structures


This research will develop high-end technology based on computer vision for structural health monitoring and damage localisation in structures.


Dr Daniel Dias-da-Costa.

Research location

Civil Engineering

Program type



This project will take advantage of the most recent development in computer vision and structural health monitoring. The purpose is to develop high-end techniques to assess the behaviour of structures and possible damage. It is expected that high-resolution cameras and other non-destructive techniques can be combined in this work. Namely, in association with finite element methods capable of capturing discrete cracks inside the body will be combined with monitoring data to assist reverse engineering algorithms in the localisation of damage. The candidate should be interested in the areas of structures and computer programming, and have a strong desire to explore new fields of knowledge, and interact with multidisciplinary teams. There are several pathways possible for this research focusing depending on the research interests and background of the applicant.

Additional information

Applications are invited for researchers interested in joining a world-leading research group within the School of Civil engineering and pursuing further studies in the field of concrete structures. Background in civil/mechanical/aerospace engineering, and skills on numerical methods and/or programming, will be very useful. It is expected a strong commitment to academic research in the proposed field and the capacity to create and develop original approaches to tackle open questions. Interested researchers are encouraged to get in touch with Dias-da-Costa as soon as possible.

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Opportunity ID

The opportunity ID for this research opportunity is 2279

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