Stergios Emmanouil
5 months ago
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PhD and Postdoctoral Positions in Multivariate Extremes, Hydroclimatic Risk, and Stochastic Hydrology at University of Central Florida University of Central Florida in United States
Degree Level
PhD, Postdoc
Field of study
Computer Science
Funding
Both positions are fully funded. The postdoctoral scholar is partly supported through UCF’s Preeminent Postdoctoral Program (P3) for exceptional early-career researchers.
Deadline
Expired
Country
United States
University
University of Central Florida

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About this position
University of Central Florida (UCF) is advertising multiple open positions for Fall 2026 in the Department of Civil, Environmental and Construction Engineering in Orlando, Florida, United States.
The post is from Stergios Emmanouil, Assistant Professor at UCF, who is recruiting a PhD student and a Postdoctoral Scholar to join his group.
PhD position: The research will focus on multivariate extremes and hydroclimatic risk assessment, with possible directions including compound events, severe storm impacts on critical infrastructure, and/or spatiotemporal downscaling using multifractal scaling arguments. The position is fully funded and includes both applied and theoretical components.
Postdoctoral position: The research scope is broadly in stochastic and statistical hydrology, with emphasis on hydrological-hydraulic modelling and hydroclimatic extremes. The postdoc is also fully funded and partly supported through UCF’s Preeminent Postdoctoral Program (P3).
Eligibility highlights: PhD candidates should have a background in civil/environmental engineering, atmospheric science, meteorology, applied mathematics, or a related field, plus strong quantitative skills and programming proficiency in Python, R, and/or MATLAB. Prior exposure to extreme value theory is an asset. Postdoctoral applicants should hold a PhD completed or expected before the start date in civil/environmental engineering, atmospheric science, statistics, applied mathematics, or a related field, with a strong publication record and programming proficiency in Python, R, and/or MATLAB. Expertise in extreme value theory and/or hydrological-hydraulic modelling is highly valued.
How to apply: Interested candidates should email [email protected] with a CV, short research statement, transcripts, and references. Postdoctoral applicants should include a publication list in the CV.
Application window: Fall 2026 start. No specific deadline is stated in the post.
Funding details
Both positions are fully funded. The postdoctoral scholar is partly supported through UCF’s Preeminent Postdoctoral Program (P3) for exceptional early-career researchers.
What's required
PhD applicants should have a background in civil/environmental engineering, atmospheric science, meteorology, applied mathematics, or a related field, with strong quantitative skills and proficiency in Python, R, and/or MATLAB; prior exposure to extreme value theory is an asset. Postdoctoral applicants should hold a PhD completed or expected before the start date in civil/environmental engineering, atmospheric science, statistics, applied mathematics, or a related field; have a strong publication record; demonstrate proficiency in Python, R, and/or MATLAB; and expertise in extreme value theory and/or hydrological-hydraulic modelling is highly valued.
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