Tetra Tech International Development Services is currently accepting expressions of interest from qualified candidates for a Research Assistant.
Tetra Tech is looking for a Research Assistant to help with the Bill and Melinda Gates Foundation-funded operation “Enabling Crop Analytics at Scale.” This project will contribute to the ability to remotely produce precise, near real-time, high-resolution insights on agricultural production (land boundary detection, crops planted, yield) at the field to national scales in order to enhance strategic and operational decisions for a variety of private and public actors involved in agriculture on a global scale. Tetra Tech was chosen by the Bill and Melinda Gates Foundation to run phase one of a multi-phased project to lay the groundwork for advanced crop analytics. Phase one will develop processes and partnerships that, over time, will lead to an agricultural data ecosystem in which structured ground-truth data is collected, exchanged, and used to produce both basic and enhanced analyses and insights that public and private users can use to generate value, manage risks, and drive agricultural development.
The Research Assistant will be a key member of the activity’s Home Office Technical Team, reporting to the Project Manager (PM). S/he will produce, analyze, and synthesize information products for use by the project team or the Gates Foundation, with an emphasis on stakeholder analysis, reporting, and communications. S/he will assist with both routine and discrete project reporting of results and outcomes, as well as administrative support for operations in the United States as appropriate. The Research Assistant is a remote position based in the United States, and he or she will work from home.The job is full-time for eight months, from June 2021 to January 2022. Depending on travel restrictions, it is likely that the posting would necessitate periodic travel to Burlington, VT to meet with the core home office team.
*Assist Stakeholder Landscape Analysis in identifying and maintaining a database of organizations involved in remote sensing and crop analytics. Assist with ongoing research, interaction, and collaboration with related organizations.
*Funding for research and innovation will be provided through the initiative’s AGData Acceleration Facility, which will include recording and publishing lessons learned for use by the remote sensing and analytics community.
*Plan, schedule, and carry out literature reviews, interviews, discussions, or other studies to gather and evaluate data for reporting outcomes and performance.
*As required by the activity’s communication policy, prepare blogs, tweets, blog posts, website updates, reports, and presentations for internal and public use.
*Assist the Project Manager (PM) and Deputy Project Manager (DPM) in documenting task outcomes and performance. These will include quarterly and annual reporting, as well as specific learning materials for internal use and wider distribution to stakeholders.
*Assist the PM and DPM with recruitment, logistics, and other administrative program management requirements.
*A bachelor’s degree in agriculture, economics, statistics, business, machine learning, or a closely related field is required. A master’s degree is preferable.
*Experience working on international development programs and agricultural studies. It is highly beneficial to have research and work experience in agricultural technology and remote sensing for agriculture.
*Excellent written communication skills are required. Experience creating papers, lessons learned, or related articles for a wide range of audiences is highly favored.
*Experience with quantitative and qualitative research methods, especially in agriculture, is preferred.
*Strong interpersonal skills and the ability to interact with stakeholders from a variety of backgrounds and industries are needed.
*Experience in a developing world context or experience designing and managing donor-funded development projects will be advantageous.
*Experience with the Microsoft Office suite, especially Word and Excel.
*Experience with GIS and mathematical software is preferred.
*The ability to operate lawfully in the United States without the sponsorship of an employer.