Open Position: Remote Sensing and Machine Learning Applications for Agriculture and Food Security at Postdoc, Assistant or Associate Research Professor Level
Salary: Commensurate with experience
Closing Date: Open until filled, apply by February 15
For best consideration, please apply via https://ejobs.umd.edu/postings/66737 by February 15th 2019, though the position will remain open until filled.
The University of Maryland Center on Global Agricultural Monitoring Research and the NASA Harvest Consortium, is seeking an outstanding researcher at the Post-doctoral Associate, Assistant Research Professor, or Associate Research Professor level, with a strong interest in machine learning and agriculture to join a diverse team working on remote sensing applications for agricultural monitoring and food security. NASA Harvest is a NASA Applied Sciences program, led by UMD’s Center for Global Agricultural Monitoring. Its aim is to advance the awareness, use and operational uptake of satellite-based earth observations to guide decisions that support food security, stable markets, economic progress and sustainable, resilient crop production. Harvest works both domestically and internationally, at the field to global scale. It is made up of a diverse Consortium with over 40 institutions involved – from public, private, NGO, intergovernmental, and humanitarian sectors – each committed to advancing the state of the science and adoption of Earth observations for societal benefit. The Harvest Consortium was initiated in November of 2017 with an initial period of 5 years. (www.nasaharvest.org)
The successful candidate will work on research related to machine learning applications to crop production forecasting for the major food producing countries, as well as for those countries most at risk to food insecurity at the field to global scales. This will involve developing models to forecast crop yields, map crop types, and alert of impending crop shortfalls, to name a few, in order to inform key agricultural and food security decisions by a range of public and private stakeholders. This research will be carried out through the use of a wide range of satellite data, unique ground collected data-sets, global archives of diverse socio-economic data and statistics.
A successful applicant should hold a PhD in computer science, remote sensing, agricultural sciences, physics, engineering, mathematics, or related fields. A strong programming background (especially Python, R, IDL, or C++) and an interest in agriculture and food security research and applications is required and experience with working the Google Earth Engine is a plus. The candidate will be expected to work well within a diverse team and to design and lead projects that will contribute to the overall aim of the Harvest Consortium as well as work on ongoing activities.
For more information please contact Inbal Becker-Reshef (Harvest Program Director) at email@example.com.University of Maryland is an equal opportunity employer.