Zavud Baghirov
Research group Global diagnostic models
Intern. Max Planck Research School for Global Biogeochemical Cycles (IMPRS-gBGC)
Curriculum Vitae
Main focus
In my current research, I aim to combine deep learning
models with physical models using different Earth observation data. This
combination of deep learning and physics based models is called hybrid
modelling. With this approach, we aim to develop a global model of
(coupled) terrestrial water and carbon cycles. This research also aims
to quantify the uncertainties that exist in the hybrid model.
Academic backround:
Max Planck Institute for Biogeochemistry
02/2022 - Present: PhD candidate with the Global Diagnostic Modelling research group
Friedrich Schiller University Jena
10/2021 - 02/2022: Visiting researcher at the Institute of Geography, Department for Earth Observation
Luxembourg Institute of Science and Technology
12/2020 - 06/2021: Research intern at the Environmental Sensing and Modelling department
University of Trier
10/2017 - 11/2021: MSc in Environmental Sciences (Specialised in Environmental Remote Sensing and Modelling)
Baku State University
09/2013 - 06/2017: BSc in Ecology