Zavud Baghirov

Doctoral Researcher
BGI Team
Department Biogeochemical Integration (BGI)
Global diagnostic models
Intern. Max Planck Research School for Global Biogeochemical Cycles (IMPRS-gBGC)
+49 3641 576211
C1.014

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


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