Jobs:Job-01642
Apply before: 20 October 2024
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Posting:
Position: PhD position
Apply before: 20 October 2024
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Project description
An accurate real-time compound (pluvial, coastal and riverine) flood forecast system is urgently required to prepare New Zealanders for future floods due to extreme weather such as ex-Tropical Cyclone Gabrielle in 2023. The research team is working on developing such a system with AI techniques to downscale the flood results to speed up the model while retaining high-resolution output. The compounding effects of storm surges, river flow and heavy rainfall will be investigated to guide better flood management in flood-prone areas.
Offer
The funding for the PhD position is for three years, covering all tuition fees at UoA, a living stipend of 34000 New Zealand dollars per year (tax-free) plus funding for travel, attending conferences and publications.
The PhD candidate will be jointly supervised by Prof. Asaad Shamseldin (UoA) and Dr. Zhonghou Xu (NIWA), with advisors from the broader NIWA family.
The candidate is expected to work with a diverse team, including hydrologists, flood modellers, meteorologists and data scientists from NIWA, UoA and Wuhan University. The candidate will carry out research at UoA Auckland campus and NIWA office in Hamilton.
NIWA is a Crown Research Institute and a leading institution for water and atmospheric research in New Zealand. UoA is a top university in New Zealand, ranking 65 globally in QS 2025.
Profile
We are seeking a motivated PhD candidate with a background in hydrology, urban and/or coastal flood modelling and/or machine learning. Priorities will be given to those who have obtained their Master’s or Honour’s degree with proficient English skills. Knowledge of machine learning is considered advantageous but not required. Experience in scientific programming is needed, e.g., python.
Unless the candidate is exempt from the UoA English language requirement, the minimum English requirement for UoA doctoral enrolment is: IELTS overall 6.5 and no bands below 6 or TOFEL overall 90 with writing 21 (internet-based) or overall 68 with writing 21 (paper-based).
Interested?
