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Applicants are required to submit a cover letter describing their interest in and qualifications for the position; a curriculum vitae; a statement of their scholarly and research activities; a teaching statement; 2-3 recent publications; and the names and contact information of three (3) references. Inquiries can be sent to [email protected].
The Institute for Social Research (ISR) at the University of Michigan invites applications for an Assistant Research Scientist in its Survey Research Center (SRC).
The Assistant Research Scientist will join the faculty of the Survey Methodology Program (SMP) within SRC, serve as an expert sampling statistician on multiple SRC projects, and contribute to the writing of original journal articles and research proposals.
As the world's largest academic social science survey and research organization, the Institute for Social Research (isr.umich.edu) is a leader in developing and applying new social science methods. The Institute's Survey Research Center conducts investigator-initiated, survey-based research on theoretical and applied problems of both social and scientific importance.
The Assistant Research Scientist will be responsible for sample design and implementation on multiple national survey research projects; providing technical consultation and support to ongoing projects, both internal and external to SRC, in the form of sample design, weight development, development of data collection protocols, and survey data analysis; developing technical papers and/or publications documenting methodological issues of interest to the survey and data science community; and participating in design and field monitoring activities. The scientist will also prepare and collaborate on proposals for funded research related to survey methodology, sampling, and data science; develop a related scholarly research agenda; and provide, as needed, supervision to project staff.
This Assistant Research Scientist position requires:
a Ph.D. in survey methodology, statistics, or related quantitative social science fields;
at least 5 years of experience in the development and execution of a wide range of sample designs, including complex area-probability samples, for domestic and international clients;
technical expertise in developing post-survey statistical adjustment procedures;
