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  Climate-resilience and sustainability optimisation in transport infrastructure adaptation

   Department of Civil Engineering

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  Dr Stergios-Aristoteles Mitoulis , Dr Jelena Ninic  Applications accepted all year round  Competition Funded PhD Project (Students Worldwide)

About the Project

The candidate may have any background in infrastructure and/or environmental engineering and will have an understanding of hazards, such as climate and/or human induced hazards and stressors. Such stressors could include flooding and scour, foundation settlements, corrosion, explosion as a result of attacks and/or other accidental loading. To this end multihazard scenarios and climate projections will be analysed and assessed. The main scope of this PhD is to process openly available digital data from e.g., UAV-enabled mapping, GIS, satellite imagery and/or forensic evidence to develop optimised resilience and sustainability solutions for assets, such as bridges or other critical infrastructure. Scenarios of proactive (ex-ante) and reactive (ex-post) adaptation of critical infrastructure will be evaluated to make the case for resilient infrastructure that contributes to Net-Zero.

Please apply here: and choose the appropriate for your choice for “PhD in Department of Civil Engineering”. 

Engineering (12) Environmental Sciences (13)

Funding Notes

Funding: Competition-based. The successful candidate will be able to have a salary top-up if they are happy to be seconded to another collaborative University and help towards the delivery of ongoing research projects (see e.g.,


Loli M, Kefalas G, Dafis S, Mitoulis SA, Schmidt F (2022). Bridge-Specific Flood Risk Assessment of Transport Networks Using GIS and Remotely Sensed Data. Science of the Total Environment. Vol. 850, 157976.
Mitoulis SA, Argyroudis S, Loli M, Imam B (2021). Restoration models for quantifying flood resilience of bridges. Engineering Structures, 238, 112180
Huang, M. Q., Ninić, J., & Zhang, Q. B. (2021). BIM, machine learning and computer vision techniques in underground construction: Current status and future perspectives. Tunnelling and Underground Space Technology, 108, 103677.

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