PhD position - Earth System Science within the HDS-LEE graduate school
Core
Developing machine-learning-based tools to estimate key parameters in land-surface and ecosystem models for understanding climate change impacts on terrestrial systems.
Role type
PhD researcher in Earth System Science and Machine Learning
Builds
Open-source software, scientific publications, and a PhD thesis
Domain
Earth System Science, Hydrology, Biogeochemistry, Machine Learning
Deliverable
production ML models
Required skills
Machine learning, Land-surface modeling, Data science, Numerical simulation, Python/Matlab/R/C++/Julia, Statistical analysis
Preferred skills
German language knowledge
Technologies
Python, Matlab, R, C++, Julia
Responsibilities
Conduct literature review on model-data fusion techniques, Develop fast-running model surrogates using machine learning, Design training strategies for ML tools, Build and test model emulators, Estimate ecosystem parameters using new techniques, Apply techniques in large-scale ecosystem reanalysis, Prepare scientific publications and present at conferences, Publish developed software openly