Job Description
Are you our new colleague?
Are you an ambitious, highly motivated, and result driven (postdoctoral) scientist with experience in interpreting atmospheric (satellite) observations and machine learning? Then you are the person we are looking for.
Your position
You will contribute to the newly funded COGNITO project (carbon monoxide (CO) Global aNalysis, source Identification and emission quantification using TROPOMI Observations). COGNITO aims to develop the first global, satellite-based system for detecting and quantifying carbon monoxide emissions from major urban areas and industrial facilities, with a particular focus on the iron and steel sector. By using TROPOMI observations with advanced machine learning techniques, the project will provide independent information on emission patterns and support efforts to improve emission inventories and evaluate decarbonization strategies worldwide.
Your team
You will be...