The successful applicant will pursue research focused on developing a framework for quantifying and modeling uncertainty of satellite-based flood inundation estimates. The work will involve generation of flood inundation maps (FIM) from remote sensing observations (e.g. Landsat and Planetscope) and the statistical analysis of the FIMs accuracy and error characteristics. Therefore, preference will be given to candidates with prior experience in remote sensing. Demonstrated skill in using GIS software as well as programming in Python, Matlab, R or similar is highly desirable.
To be considered, please email Prof. Efthymios Nikolopoulos (enikol...@fit.edu) a CV and any other relevant information. Applications will be considered starting on Sep 15, 2021, and the position will remain open until filled.