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Bayi Glacier in Qilian Mountain, China (Credit: Xiaoming Wang, distributed via imaggeo.egu.eu)

Job advertisement PhD Position in Climate Change and Natural Hazards

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European Geosciences Union

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PhD Position in Climate Change and Natural Hazards

Position
PhD Position in Climate Change and Natural Hazards

Employer
King Abdullah University of Science and Technology (KAUST) logo

King Abdullah University of Science and Technology (KAUST)

Homepage: https://cli.kaust.edu.sa/


Location
Thuwal, Saudi Arabia

Sector
Academic

Relevant divisions
Climate: Past, Present & Future (CL)
Hydrological Sciences (HS)
Natural Hazards (NH)

Type
Full time

Level
Student / Graduate / Internship

Salary
Open

Preferred education
Master

Application deadline
Open until the position is filled

Posted
9 July 2022

Job description

We are seeking a creative and ambitious PhD student to undertake impactful research in the areas of natural hazard early warning and climate change impact assessment. The position is based in Prof. Hylke Beck’s newly formed research group within the Climate and Livability Initiative (CLI) at King Abdullah University of Science and Technology (KAUST) in Saudi Arabia. The candidate will focus on one or more of the following topics:

  • monitoring and forecasting of natural hazards such as flash floods, heat waves, and dust storms by combining space-based data, in-situ measurements, and modeling;
  • high-resolution digital surface model generation in urban areas using aerial and satellite imagery;
  • large-scale flood inundation modeling and hazard mapping using computationally-efficient machine learning models;
  • regional convection-permitting numerical weather prediction modeling for climate change assessment and weather warning operations; and
  • water-food-energy nexus assessment and streamlining adaptation and mitigation policies and measures.

The candidate is expected to initiate, develop, and deliver high-quality research, publish in leading peer-reviewed journals, present at international conferences, and attend lab meetings. Preference will be given to candidates with proven experience in Python programming, source code versioning and management, cloud computing, and machine learning.

Located on the Red Sea 80 km north of Jeddah in Saudi Arabia, KAUST is an international graduate-level research university. KAUST offers state-of-the-art research facilities, including one of the fastest supercomputers in the world, and an attractive tax-free compensation package, including free fully-furnished on-campus housing, four weeks of paid annual leave (in addition to 15 national holidays), health care (medical and dental), relocation assistance, and free education at KAUST international schools for children.


How to apply

Applications must be submitted to Prof. Hylke Beck (hylke.beck@kaust.edu.sa). A complete application includes the following materials: (i) a curriculum vitae; (ii) a cover letter specifying how your qualifications and experience have prepared you for this position; (iii) the contact information of at least two references (who will not be contacted until after the interview); and (iv) a sample of your own original code. A review of applications will begin immediately and continue until the position is filled.