Research Professor / Research Associate Professor / Research Assistant Professor (Open Rank)

ID: 234823. Successful candidates are expected to demonstrate knowledge 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 from human populations.