Job Duties:

Collaborate with PI, and students to deploy deep learning models to identify and monitor water in satellite imagery time series using sensors such as MODIS, VIIRS, Sentinel-1, and Planetscope.Build a database of flood mitigation infrastructure in the US.Build a history of flooding in the US at spatial high resolution.Writing articles for publication (co-authored and first-authored).Support organization of meetings, collaboration, and lead NASA funded projects related to flood mapping in Bangladesh and near real time flood mapping using VIIRS.Present results at AGU, AAG, or other relevant conferences.Support grant proposal writing efforts and developing proof of concepts (including opportunities to lead ones' own).Collaborate with partners at NASA to implement flood water detection models in satellite imagery.

Additional Information:

Researcher will gain skills in fundraising (grant writing), mentoring, and research administration essential for future faculty, government, and industry research positions, with hands on mentoring from the PI to help you achieve your career goals. The researcher will also be given at least 20% of their time to devote to personal projects, publications, and funding proposals. The University of Arizona is a Hispanic-Serving Institution, and the Social Pixel lab is committed to diversity, inclusion, and social justice inside the lab and in our research practices- see more- https://beth-tellman.github.io/Empowerment Vision and Operation (1).pdf