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Postdoctoral Fellow on Spatiotemporal Analytics of COVID-19's Second-Order Impacts on Global Vulnerable Communities
Harvard University
| School: Faculty of Arts and Sciences Department/Area: Center for Geographic Analysis (CGA)/IQSS at Harvard Position Description: Project Background and Overarching Research Objective A key goal of these activities is to facilitate discussion and enable research and reporting to inform participatory mapping and open data creation taking place in developing countries to mitigate COVID-19 second order impacts. The supported local mapping projects will include local partners' application of proven and innovative participatory and remote mapping methods to create open data, conduct analyses, and produce publicly-available digital maps in support of data-driven decision-making for food security, economic development, and social services (to include health, water, and education). Participating local partners will include a diverse group of stakeholders, such as academia, non-governmental organizations, community organizations, municipal and regional governments, or private sector. The outcome of this project will support an increased capacity in developing countries to use mapping and analysis for mitigating COVID-19 impacts by enabling the understanding of resource needs and availability for vulnerable populations. This will facilitate the fulfillment of those needs and promote resilience and sustainability in the face of COVID-19 and beyond. This research effort will strengthen analysis and application of geospatial data to understand COVID impacts in developing countries; promote geospatial awareness and capacity building with local partners from academia, municipal governments, and community groups; and enhance analytical products and outputs shared at the local level for mitigating COVID second-order effects. Responsibilities Conduct literature review, data examination and technology benchmarking, and co-author three reports (preferably peer-reviewed papers) on the following topics. This is a grant-funded term position through 9/21/21, with the possibility of extension based on funding and performance. Basic Qualifications: PLEASE NOTE: If you have obtained your Ph.D. in the past 12 months you must be able to provide a certificate of completion from the degree-granting institution OR a letter from the institute's registrar stating all requirements for the degree have been successfully completed and should verify the date the degree has been or will be conferred. No exceptions. Additional Qualifications: Contact Information: Wendy Guan Contact Email: wguan@cga.harvard.edu Special Instructions: TO APPLY: PLEASE DO NOT APPLY ONLINE. To apply, send a curriculum vitae, statement of research interests, degree certificate (if applicable), and names and contact information for three references to Wendy Guan (wguan@cga.harvard.edu). Research papers (up to three) are welcome but optional. Review of applications will begin immediately and end when the position is filled. Only applicants who follow these instructions will be considered. This is a grant-funded term position through 9/21/21, with the possibility of extension based on funding and performance. Note: Incumbent will work remotely based on Harvard University's COVID-19 response policy until further notice. Work must be performed within the US. Individuals who are located in the US may work outside of Massachusetts (MA) until 90 days after the MA COVID-19 state of emergency is no longer in effect. Individuals located in the US working outside of MA must acknowledge to Harvard in writing that after the interim pandemic policy ends, the employee must relocate to MA and their campus work location. Note: J-1 Research Scholar visa sponsorship may be available in limited circumstances to individuals already in the US on a visa, depending on their specific immigration status. Equal Opportunity Employer: We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law.
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