Geosensing Systems Engineering & Sciences program, Department of Civil & Environmental Engineering, The University of Houston, Texas, USA
Posted: Oct 9, 2019
The candidate will conduct research on quantifying 3D geospatial change between multi-temporal remote sensing data, including investigating new change detection approaches for point and raster data, applying rigorous uncertainty estimation, and developing new algorithms for adaptive and multiscale change detection methods.
- A Ph.D. in geomatics, geodetic science, remote sensing, computer vision or science, or related discipline is preferred.
- Experience with Python or MATLAB (experience with C++ is desirable).
The successful applicant will be a part of a team of faculty members, research scientists, and graduate students focused on understanding our changing world through remote sensing observations. The program maintains a state-of-the-art facility and is associated with the National Center for Airborne Laser Mapping (NCALM) funded by the NSF.