Jobs:Job-00224
Apply before: 30 October 2020
|
Posting:
Position: Postdoctoral Fellow
Apply before: 30 October 2020
Apply online:
|
The Department of Physical Geography is one of the major departments within the Faculty of Science. The department has approximately 135 employees and educates approximately 1 000 students annually. Education is oriented towards geography, geosciences, biology-earth sciences, and environmental protection and environmental management. The main research areas are: Biogeography and Geomatics, Climate Science and Quaternary Geology, Environment, resource dynamics and management, Geomorphology and Glaciology, and Hydrology, Water Resources and Permafrost.
Project description
The position will be associated with a project on physics-guided applications of Machine Learning (ML) methods for hydro-climatic and freshwater system dynamics on land. The project aims at seizing the enormous opportunities opened by rapid growth in openly available/accessible data and ML methods to systematically and significantly advance data-interpretation, modeling, and predictive capabilities for large-scale hydro-climatic and freshwater-resource conditions and shifts in various parts of the world’s land area up to the global scale. The approach to capturing these oportunitities will combine physics-based fundamental mechanistic constraints and models with relevant state-of-the-art ML methods. This combination is needed to leverage complementary knowledge and methodological strengths and evade false scientific discoveries that solely black-box use of ML often leads to in data-intensive exploration. Data to be considered range from in-situ measured, remotely sensed, and reanalysis data, as well as simulation outputs from Earth System and other types of large-scale models, such as from catchment/regional/global hydrological modelling. Hydro-climatic and freshwater-resource variables to be considered include, e.g., land-atmosphere flux interactions, soil-moisture and water flow/level/quality conditions, and climate-change and land/water-use drivers of possible shifts in these.
