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UOC

Hydroclimatic Risk Assessment and Multivariate Extremes in Civil Infrastructure

University of Central Florida Department of Civil, Environmental and Construction Engineering
✓ Fully Funded 🎓 Civil Engineering 🎓 Environmental Engineering climate adaptation hydroclimatic risk multivariate extremes flood modeling stochastic hydrology extreme value theory infrastructure resilience

Explore hydroclimatic risk and multivariate extremes to improve civil infrastructure resilience. Engage in applied and theoretical research developing new statistical and hydrological tools at UCF's Department of Civil, Environmental and Construction Engineering.

AI-generated overview

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Why This Research Matters

This research is vital to address growing global challenges from climate change-induced extreme weather events. By improving understanding and predictive capabilities for hydroclimatic risks, it aids in designing resilient infrastructure and informs policies aimed at disaster preparedness and sustainable development.

statistical hydrology hydroclimatic risk compound flood risk extreme rainfall analysis

Project Description

Project Overview

This research project addresses the challenges of hydroclimatic extremes and risk assessment with direct applications in civil infrastructure resilience, flood modeling, and climate adaptation. Key focus areas include compound extreme events, severe storm impacts on critical infrastructure, spatiotemporal downscaling using multifractal scaling, and stochastic/statistical hydrology. The project combines applied and theoretical approaches to improve understanding and predictive modeling of hydroclimatic risks amid climate change.

What You Will Do

As a PhD student or Postdoctoral Scholar, you will engage in developing and applying advanced statistical, mathematical, and computational tools for multivariate extremes and hydroclimatic risk. Your work will involve studying compound events, downscaling techniques, and hydrological-hydraulic modeling, focusing on real-world problems impacting resilience and adaptation. Collaborative and independent research within an interdisciplinary team will be key to accomplishing project goals.

Expected Outcomes

The research will produce new insights and robust methodologies for understanding and managing hydroclimatic risks and their impacts on infrastructure systems. This includes improved risk assessment frameworks, enhanced flood models, and innovative approaches to climate adaptation strategies. These outcomes will have practical implications for disaster preparedness, urban planning, environmental policy, and sustainable development.

Why This Matters

With climate change increasing the frequency and severity of extreme weather events, this work addresses critical vulnerabilities in infrastructure and communities. By advancing knowledge and tools for hydroclimatic risk assessment, the research supports building resilient infrastructure capable of withstanding extreme events, thereby protecting lives, property, and economic wellbeing at local and global scales.

Entry Requirements

Applicants should have a strong academic background in civil or environmental engineering, atmospheric science, applied mathematics, statistics, or related fields. Proficiency in quantitative analysis and programming (Python, R, MATLAB) is required. Prior exposure to extreme value theory is an asset for PhD candidates. Postdoctoral applicants must hold a relevant PhD and have a strong publication record with expertise in extreme value theory and hydrological-hydraulic modeling.

How to Apply

Applicants should submit a CV (with publication list for postdocs), a short research statement, academic transcripts, and references, following instructions in the official announcement via the original LinkedIn post: https://www.linkedin.com/posts/stergios-emmanouil-46a5ba114_phd-postdoc-risk-share-7450968731134021632-6FuK

Eligibility

UK/Home
EU
International

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