Fatemeh Ghezelsofla
1 month ago
Postdoctoral Position in Hydrological and Climate Change Modelling at University of Padova University of Padova in Italy
Degree Level
Postdoc
Field of study
Environmental Science
Funding
The position is a 2-year postdoctoral research appointment. No specific details on stipend amount or funding type are provided.
Deadline
Expired
Country
Italy
University
University of Padova

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About this position
The University of Padova in Italy is offering a 2-year postdoctoral research position in the Department of Land, Environment, Agriculture and Forestry. The focus of this opportunity is on hydrological and climate change modelling at convection-permitting scale, with the project titled “Improvement of a Hydrological Digital Twin.” The research aims to advance modeling approaches that integrate hydrology, climate simulations, and geospatial analysis, making it ideal for candidates interested in environmental science, civil engineering, and data-driven climate research.
Applicants should have a PhD in civil engineering, environmental science, or a related field. Essential qualifications include experience in hydrological modelling, climate model output analysis, and geospatial analysis, as well as strong programming skills in Python, Fortran, or R. Excellent scientific writing and communication skills are required. Preference will be given to candidates with experience applying machine learning to hydrology or climate change analysis.
The position is based at the University of Padova, a leading institution in Italy, and offers the chance to work on cutting-edge research at the intersection of hydrology, climate modeling, and environmental data science. The application deadline is February 17, 2026. For further information or questions, applicants may contact Marco Borga at [email protected]. Interested candidates should apply via the provided application link.
Funding details
The position is a 2-year postdoctoral research appointment. No specific details on stipend amount or funding type are provided.
What's required
Applicants must hold a PhD in civil engineering, environmental science, or a related field. Required experience includes hydrological modelling, climate model output analysis, and geospatial analysis. Strong programming skills in Python, Fortran, or R are necessary, along with excellent scientific writing and communication skills. Experience applying machine learning to hydrology or climate change analysis is preferred.
How to apply
Apply via the provided application link. For questions, contact Marco Borga at [email protected]. Ensure your application is submitted by February 17, 2026.
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