Post-Doctoral Associate - GECC
About the Job
The Institute for Social Research and Data Innovation at the University of Minnesota is hiring a Post-Doctoral Associate. The successful candidate for this position will work under the supervision of UMN co-leads for the NIA-supported GECC project. The position will entail developing guidance around the creation and use of residential histories and creating measures of safety and emergency services.
Responsibilities
The postdoctoral associate will collaborate with UMN co-leads and the GECC team to develop measures and guidance to advance our understanding of the AD/ADRD exposome and to disseminate this information via dataset creation and the development, writing, presentation, and publishing of articles that describe these efforts, among other responsibilities. The specific focus of the research will be decided in collaboration with UMN co-leads and the GECC team, but will generally focus on residential histories and community services, especially safety and emergency services.
As part of these efforts, the postdoctoral associate will meet with UMN co-leads and/or other members of the GECC team once per week in virtual and/or in-person meetings to coordinate research and dissemination activities.
The successful candidate will also engage more generally in ISRDI’s rich interdisciplinary intellectual environment. This may include attending research seminars and workshops; participating in LCC/MPC research development programming; developing professional connections with other projects based at ISRDI; and other activities at ISRDI.
Appointment Details
- This is a 100%, 12-month, annually renewable appointment. The candidate will start between July 2026 and August 2026, with continuation up to two more years based on available funding and performance.
- The successful candidate would devote 90% of their effort to collaborative and independent research related to the GECC and 10% of their time to other independent and collaborative research (e.g., publishing dissertation articles, other ongoing projects).
Qualifications
Required Qualifications
- Doctoral degree in a field relevant to geospatial data science
- Strong record of scholarly publication
- Strong data management and geospatial skills, with programming experience with Python, R, or similar
- Excellent English skills for academic writing
- Ability to advance science independently and also as part of collaborative teams
- Interest in fostering an inclusive environment and appreciation of differences in the workplace
- The selected candidate must have, or be able to acquire, Special Sworn Status, to work in the Federal Statistical Research Data Center (FSRDC), of the Census Bureau
Preferred Qualifications
- Research experience or interest examining the long-term effects of contexts (e.g. social, environmental, policy) on health and well-being
- Experience with safety and emergency services data and measures
- Knowledge of and experience managing changing geographic boundaries in the U.S.
- Experience working with a variety of kinds of data (e.g., geospatial, social, and/or environmental data)
- Experience working in highly interdisciplinary working groups
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