Assistant professor / lecturer
The Survey Research Center (SRC) in the Institute for Social Research at the University of Michigan has conducted investigator-initiated, survey-based research on theoretical and applied problems of both social and scientific importance for over 70 years (https://www.src.isr.umich.edu).
SRC is the site of a large group of PhD-level survey methodologists that includes Fred Conrad, Mick Couper, Michael Elliott, Steven Heeringa, Sunghee Lee, Roderick Little, Zeina Mneimneh, Trivellore Raghunathan, Yajuan Si, James Wagner, and Brady West. Together they form the Survey Methodology Program, which pursues cutting-edge statistical and methodological research with investigator-initiated research grants. The center also contains the Survey Research Operations unit, which has over 150 technical staff working on applied design and implementation of large complex sample surveys with advanced data collection technologies. These include large-scale ongoing longitudinal surveys, one-time complex mixed mode designs (face-to-face, web, mail, telephone, bodily fluid samples, administrative records), and development of large-scale survey software capabilities.
The center invites applications from (and nominations of) outstanding candidates for an open rank Research Professor position. Suitable candidates at the Research Assistant Professor level will be recent doctoral graduates from programs in the quantitative and computational social sciences. All candidates should have a demonstrated interest in innovative survey methodology and primary data collection and evidence of research in these areas. Candidates at the Research Associate Professor or Research Professor ranks will have an established record of accomplishment and excellence in obtaining research funding and publishing original and innovative research in survey methodology that preferably incorporates new data sources (e.g., social media data, administrative data, biosocial data, sensor data). Demonstrated excellence in teaching desired, but not required.
Candidates will be able to pursue their own research interests through external funding and collaborate with other scientists in ongoing research programs at the University of Michigan and beyond. It is anticipated that the candidates will also teach courses and mentor students in the Michigan Program in Survey and Data Science (MPSDS), a graduate degree-granting program at the University of Michigan.
Successful candidates are expected to demonstrate knowledge of and interest in survey methodology, including (for example) topics in questionnaire design, innovative approaches to measuring and reducing nonresponse and measurement error, mode effects, web survey methodology, responsive and adaptive design, longitudinal survey design and analysis, total survey error, interviewer effects, uses of big data for conducting social research, statistical privacy protection, network analysis, natural language processing, integrating survey data with other new data sources (e.g., administrative, biosocial, or social media data), and other areas related to the fundamentals of data collection. We are interested in researchers who would thrive in our entrepreneurial, interdisciplinary, collegial, yet highly autonomous culture. Individuals from groups historically under-represented in the social sciences are strongly encouraged to apply.
Applicants must have a doctoral degree in the social sciences or related disciplines.
Interested applicants will submit a cover letter describing their scholarly activities, any funded research programs and plans, and interest in the Survey Research Center; a curriculum vitae; list of references; and up to three recent publications. All applicants must submit their applications on our online applications site, Interfolio, at http://apply.interfolio.com/86929
Applicants must include a statement in their cover letter that addresses suitability for this position, including experience with innovative research in survey methodology or other primary data collection. Applicants who have experience only in secondary analysis of survey data will not be considered.
Please direct questions or inquiries to email@example.com. Reference #86929.
Assistant professor / lecturer
University of Michigan, Packard St
MI 48104 Ann Arbor , United States