PMA2020 consists of nationally representative biannual household surveys in 10 countries in Africa and Asia, with local research institutional partners in each country that hire secondary-school educated women to use smart phones to conduct household and health care facility interviews, sending data to cloud servers for rapid analysis and dissemination.
The postdoctoral fellow will work and be primarily located at JHSPH to work with the two faculty mentors on an as-needed basis; together the postdoc and mentors form the “geospatial team.” The postdoc will facilitate PMA2020’s objectives in data collection, data visualization, in-country training, and data analysis as follows.
Data Collection Objectives • create enhanced maps of PMA2020 enumeration areas by integrating maps provided by National Statistical Offices with, for example, Google Earth maps in order to increase the accuracy and detail that will ultimately make mapping/listing activities more efficient. This will require both developing an effective technical approach and training staff among our country partners to execute this approach. • develop improved quality control methods that help ensure that the household listing, household interviews, and re-interviews are conducted at the same household• generate spatial distances between households, facilities, and other geospatial markers and make these accessible to researchers while protecting identities of interviewed individuals and households.
Visualization Objectives • work alongside other PMA2020 researchers who are helping to develop an online visualization platform to provide input on useful and visually appealing data exploration tools that preserve confidentiality. • assisting with the generation of reports and data briefs, assisting with analysis of data for auxiliary publications and reports specifically related to GIS and spatial analysis.
In-country training• the team will assist with the oversight of an international data management team, including conducting international trainings for data management and analysis with project partners and affiliates and developing tools to build the capacity of partners to analyze GIS data.
Data Analysis Objectives • along with subject-area experts (e.g. Family Planning and WASH), the geospatial team will develop and test research hypothesis using appropriate statistical tools.
Criteria: PhD in environmental health; biostatistics; epidemiology; demography; or other related fields in public health, water, sanitation, or hygiene. Highly effective communication and written skills are required. This position is located at the Johns Hopkins Bloomberg School of Public Health in Baltimore, MD, USA with limited international travel.
Deadline: December 15, 2015 or until the position is filled
Please direct all questions to Dr. Frank Curriero (firstname.lastname@example.org) with subject line “PMA 2020 Geospatial Postdoc.”
Women and underrepresented minorities are especially encouraged to apply. The Johns Hopkins University is an Affirmative Action/Equal Opportunity employer.