2 openings - Data Science Research Instructor and Geospatial Scientist

Tue, 01/13/2015 - 11:40 -- exf107
The Institute for the Theory and Practice of International Relations at the College of William and Mary invites applications for two positions that will begin August 10, 2015:

(A) Data Science Research Instructor - https://jobs.wm.edu/postings/19721
(B) Geospatial Scientist - https://jobs.wm.edu/postings/19642

These positions are designed to support and grow the AidData program. AidData seeks to (a) make aid information more accessible and usable to policymakers, civil society organizations, journalists, and researchers; and (b) create tools that enable users to more effectively target, coordinate, deliver, and evaluate aid. AidData tracks more than $5.4 trillion dollars and 1 million projects from over 90 donor agencies, creates visualization tools and software applications to facilitate understanding of aid information, conducts rigorous impact evaluations of aid transparency innovations, and pursues a variety of applied research activities that seek to improve understanding of aid distribution and impact. AidData has collaborated with the World Bank, the Bill and Melinda Gates Foundation, the Hewlett Foundation, Ushahidi, and Esri, among others, and has recently entered a five year partnership with USAID’s Higher Education Solution Network to create the informational infrastructure needed to facilitate the Agency’s evidence-based planning and implementation decisions.

For the Data Science Research Instructor, the ideal candidate will have a broad knowledge of geographic information science and big data analytics and visualization, with an area of specialization that intersects with international aid. The successful candidate will be able to illustrate past work employing spatial modeling in social contexts. Experience in using spatial data analysis software such as GRASS,GDAL/OGR, Q, and R, or equivalents is highly desirable. Successful applicants will also have scripting and programming experience in GIS environments, as well as experience with server and infrastructural needs for analyzing large datasets. The position carries a typical teaching load of 1 to 2 courses during the fall and spring semesters. The expected teaching load will include courses in data science and data visualization. In addition to excellence in teaching, the position requires an active program of scholarly activity that advances the field of GIS and data science, as well as aligns with AidData’s mission.

For the Geospatial Scientist, the ideal candidate will have at least 3-7 years of research or teaching experience, and significant experience working with policymakers and practitioners from the global development community.  The successful candidates will have a strong track record of applying or developing models for causal inference in a spatial context.  This position will be focused on (1) producing policy-relevant scholarship that leverages geospatial data and employs rigorous impact evaluation methods; (2) providing training and intellectual leadership about the role of geography in international development and how spatial awareness, spatial literacy and the use of geographic data, technology, methods and visualization media can improve analysis and decision making; and (3) advising AidData on efforts to ensure that its geo-referenced development finance data meet the highest standards of data quality. The position carries a typical teaching load of 1 to 2 courses during the fall and spring semesters.