google.com, pub-6488725001816463, DIRECT, f08c47fec0942fa0 Fully Funded PhD Position at Aarhus University: Assessing future changes in Greenland runoff using machine learning and climate models in Denmark 🇩🇰

Fully Funded PhD Position at Aarhus University: Assessing future changes in Greenland runoff using machine learning and climate models in Denmark 🇩🇰

Fully Funded PhD Position at Aarhus University: Assessing future changes in Greenland runoff using machine learning and climate models in Denmark 🇩🇰

Assessing future changes in Greenland runoff using machine learning and climate models (au.dk) They seek a candidate for a fully-funded PhD project investigating the range of present and future runoff from Greenland under different climate scenarios. Output from high-resolution regional climate models and in-situ observations of runoff will be used to develop machine learning tools that can provide estimates of future runoff, with a combination of in-situ and satellite data to evaluate the approach. The project is a collaboration between Aarhus University, the Geological Survey of Denmark and Greenland (GEUS), and the National Centre for Climate Research (NCKF) at the Danish Meteorological Institute (DMI).

How to apply: Please follow this link to submit your application. Application deadline is 05 October 2023 23:59. Preferred starting date is 01 December 2023. For information about application requirements and mandatory attachments, please see our application guide.

Please note: The programme committee may request further information or invite the applicant to attend an interview. Shortlisting will be used, which means that the evaluation committee only will evaluate the most relevant applications.

Qualifications: • MSc education in physics, maths, computer science, geophysics, engineering, glaciology, environmental science or a related subject. • Well-developed numerical skills and ideally experience in developing and using machine learning models. •Experience in programming, data analysis and visualisation in Python, R, Julia, Matlab or similar.

• Experience with climate model output or large observational datasets of climatic variables as well as knowledge of the Arctic climate system and climate change are further advantages. Assessing future changes in Greenland runoff using machine learning and climate models (au.dk)

https://phd.tech.au.dk/for-applicants/apply-here/saeropslag/assessing-future-changes-in-greenland-runoff-using-machine-learning-and-climate-models APPLY NOW:⬇️⬇️

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