The lab is currently seeking two PhD students. The first position is for a funded research assitantship via a NASA Funded LCLUC (Land-Cover/Land-Use Change) Grant to start in August 2021. The project, titled "Making the Hidden Visible: Accelerated Land-Use Change and Degradation Caused by Narco-Trafficking In and Around Central America’s Protected Areas" is a collaborative grant with PI Dr. Nicholas Magliocca (Alabama), Co-I Dr. Matt Fagan (Maryland), and others. The research assistant will map clandestine infrastructure (airstrips and roads) in protected areas in Guatemala, Honduras, and Costa Rica. We will be using multi-sensor fusion (optical and radar, including high resolution Planetscope data) and deep learning models to identify infrastructure. Interested students should send an email to Beth: et2663 [at] columbia.edu with their CV and a writing sample (something you are proud of!). This project is a unique opportunity to work with a multi-disciplinary research team of ecologists, ethnographers, and land change scientists to better understand the social and ecological impacts of the drug trade and US War on Drugs in Central America. I am also recruiting potential postdoctoral fellows to start in August 2021. Email me for expressions of interest. PhD and Master's applicants should have either expertise in or a willingness to learn satellite image analysis, programming, and quantitative skills. Applicants must also demonstrate a commitment to building a more socially just world. We are devoted to building a diverse, inclusive, and anti-racist lab. Women and all expressions of gender identity, Black, Indigenous, and people of Color, LGBTQ people, and individuals with disabilities are especially encouraged to apply.
A second PhD student and a postdoctoral research scientist will be funded through a NASA Terrestrial Hydrology Program Grant called "Mapping flood impacts using multi-sensor satellite data fusion in urban areas" with Co-Is Upmanu Lall and Pierre Gentine (Columbia) and Venkat Lakshmi (Virginia). This project will use optical and radar satellite sensors, precipitation, and topography variables to generate per-pixel probabilities of inundation in urban areas at 30m resolution every 3 days. We will develop two modeling approaches- a supervised machine learning through convolutional neural networks (CNN) and GANs (General Adversarial Networks) for spatial and spectral super resolution and an unsupervised approach through Bayesian networks. Stay tuned for the official job ad- but email me if this sounds exciting to you!
Human Environment Geography
I am a human-environment geographer seeking to understand, map, and mitigate the causes and consequences of global environmental change with and for marginalized populations. I engage in a wide array of disciplines and methods from land system science, to hydrology, to the social sciences. I will be Assistant Professor of Geography at the University of Arizona in August 2021 and am recruiting PhD students and postdocs that are fully funded! Send your CV, a piece of writing you are proud of, and an expression of interest to my email. PhD applications are due to the University of Arizona by January 5, 2021.