13 environmental-data-science Postdoctoral positions at Chalmers University of Technology
Sort by
Refine Your Search
-
22 Apr 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Economics » Other Engineering » Other Technology » Energy technology Technology » Environmental
-
10 Apr 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Programming Computer science » Other Environmental science » Earth science
-
and chemical data, with applications in infectious diseases and environmental toxicology. About us The Department of Mathematical Science provides a creative, dynamic and innovative environment where
-
understanding of these cold cloud systems. About us At the Division of Geoscience and Remote Sensing , part of the Department of Environmental and Energy Sciences , we conduct research, education, and utilisation
-
3 Apr 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Chemistry » Analytical chemistry Chemistry » Other Researcher Profile Recognised Researcher (R2
-
10 Apr 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Chemistry » Other Engineering » Chemical engineering Engineering » Materials engineering Engineering
-
and surface reactions for environmental and sustainable energy applications. The activities include studies of electrodes and catalysts for low temperature fuel cells, electrochemical hydrogen
-
will carry out research in an interdisciplinary team with experts in materials science, polymer engineering, physics, and chemistry. About us This position will be placed in the Division
-
of Systems and Control, Department of Electrical Engineering, focused on innovative research in Data-driven Modelling and Optimisation for Fast Charging of Lithium-Ion Batteries. About us At the department
-
Join and help us to derive global forest biomass data from the European Space Agency’s Biomass satellite mission. If you have interests in remote sensing, machine learning and forests, this is the