Researcher

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Biography

Lecturer in the School of Civil and Environmental Engineering

Dr. Ze Jiang is an Australian Research Council (ARC) Early Career Industry Fellow, in partnership with WaterNSW, and Lecturer at the University of New South Wales (UNSW) in Sydney, specializing in hydroclimate extremes modelling and forecasting. With a Ph.D. in Water Resources Engineering from UNSW, obtained in 2021, Dr. Jiang's doctoral research led to the development of a novel...view more

Lecturer in the School of Civil and Environmental Engineering

Dr. Ze Jiang is an Australian Research Council (ARC) Early Career Industry Fellow, in partnership with WaterNSW, and Lecturer at the University of New South Wales (UNSW) in Sydney, specializing in hydroclimate extremes modelling and forecasting. With a Ph.D. in Water Resources Engineering from UNSW, obtained in 2021, Dr. Jiang's doctoral research led to the development of a novel method called Wavelet System Prediction (WASP), capable of predicting sustained hydroclimate anomalies such as droughts or periods of flooding. Dr. Jiang's academic journey began with a bachelor's degree in Environmental Engineering from Hohai University in China in 2012, followed by a Joint M.Sc. program called "EuroAquae - HydroInformatics and Water Management", a partnership between five European universities. Before his doctoral studies, he gained valuable professional experience working for two years at the National University of Singapore (NUS). In 2023, Dr. Jiang further expanded his research horizons as a visiting research fellow at GFZ-Potsdam in Germany, supported by the Helmholtz Information & Data Science Academy (HIDA) grant.

Research Highlights:

My Grants

2024-26, ARC Early Career Industry Fellowships 2024 (~$332K AUD, Chief Investigator, 50 in all disciplines, Australia). Title: A Decadal Roadmap for Water Security and Resource Management.

2023-24, Global Research and Innovation Partnerships (~$20K AUD, Chief Investigator), UNSW GLOBAL DIVISION. Title: Index-based Insurance for Agriculture Risk Transfer under a Changing Climate.

2023, Helmholtz Visiting Researcher Grant (~$20K EUR, Chief Investigator), Helmholtz Association of German Research Centers. Title: A novel method to estimate flood extremes using spectrally transformed climate information.

See Australian Research Council Grants at https://dataportal.arc.gov.au/NCGP/Web/Grant/Grants#/20/1//Ze%20Jiang/


My Qualifications

Ph.D. - Water Resources Engineering, University of New South Wales, Sydney, Australia, 2021

M.Sc. - Hydro-Informatics and Water Management, Partnership of five European Universities, 2015

B.Eng. - Environmental Engineering, Hohai University, Nanjing, China, 2012


My Research Supervision


Areas of supervision

I am looking for good students (e.g., Honours, Master of Philosophy, and PhD) for research topics and projects related to:

  • Hydro-climate extremes modelling and forecasting
  • Postprocessing techniques for correcting bias in climate and weather prediction models
  • Climate change impact on the water cycle (e.g. floods and droughts)
  • Hydrology/Hydraulics and water quality numerical modelling
  • HydroInformatics and water management

 

Please feel free to get in touch with me to discuss current opportunities. Please send your CV, transcripts, coding experience (e.g. R/Matlab/Python) and a statement of your research interests and motivation to me via email.


My Teaching

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Videos

Jiang, Z., Sharma, A., & Johnson, F. (2020). Refining Predictor Spectral Representation Using Wavelet Theory for Improved Natural System Modeling. Water Resources Research, 56(3). https://doi.org/10.1029/2019WR026962
Jiang, Z., Sharma, A., & Johnson, F. (2021). Variable transformations in the spectral domain – Implications for hydrologic forecasting. Journal of Hydrology, 603, 126816. https://doi.org/10.1016/j.jhydrol.2021.126816
Hydro-climatological forecasting: A view from the spectral domain
Advanced wavelet-based variance transformation algorithms for ENSO forecasting over long lead times