Official posting: http://careers.umich.edu/job_detail/150687/research_professor The University of Michigan’s Institute for Social Research (ISR) is seeking candidates for an open-rank appointment in the research professor track, with the potential for a joint appointment in a tenure-track position in the University of Michigan School of Information or another school or college. ISR seeks to recruit outstanding researchers with interests related to information science, including data curation, computational social science, and health informatics, especially researchers focusing on the intersection of information science with research on racial, ethnic, gender, and/or socioeconomic inequality. The Institute for Social Research, founded in 1949, is one of the world’s leading interdisciplinary social science research institutions. ISR’s five research centers – Center for Political Studies, Inter-university Consortium for Political and Social Research, Population Studies Center, Research Center for Group Dynamics, and Survey Research Center – span a wide range of disciplines and methodological approaches. Research faculty positions in ISR include 100% ISR appointments as well as joint appointments with many departments and colleges across the university. For more information about ISR, please visit our web site: http://home.isr.umich.edu/. The School of Information is home to vibrant research and teaching programs, with 59 core faculty, and nearly 850 students. The school offers four degrees: a Ph.D., a Master of Science in Information, a Master of Health Informatics, and a Bachelor of Science in Information. The mission of the School of Information is to create and share knowledge to help people use information -- with technology -- to build a better world. A successful candidate for a position in the School of Information will be committed to, and will directly contribute to the school’s goal of being the best research and teaching institution for the understanding and design of information and its technologies in service of people and society. Required Qualifications* Candidates must have a Ph.D. in an area such as social science, information, computer science, engineering, health informatics, or related field by the time the position begins. Senior candidates should demonstrate experience and success with externally-funded research, along with a national reputation and strong publication record. *How to Apply:* Review of submitted credentials will begin immediately and will continue until the position is filled. All candidates should submit the following materials electronically to: http://apply.interfolio.com/47381 - Cover letter - Curriculum vitae - Three representative research papers or publications - Statement of teaching philosophy and experience - Evidence of teaching excellence - Statement of current and future research plans - Statement demonstrating contributions to diversity - Junior candidates (new and recent PhDs): Three letters of recommendation - Senior candidates: Names of three references (letters will be solicited separately) Additional Information The Institute for Social Research at the University of Michigan seeks to recruit and retain a diverse workforce as a reflection of our commitment to serve the diverse people of Michigan, to maintain the excellence of the university, and to ground our research in varied disciplines, perspectives, and ways of knowing and learning. The University of Michigan is supportive of the needs of dual career couples and is an equal opportunity/affirmative action employer. *Background Screening* The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks will be performed in compliance with the Fair Credit Reporting Act. U-M EEO/AA Statement The University of Michigan is an equal opportunity/affirmative action employer. -- Libby Hemphill Director, Resource Center for Minority Data, ICPSR Research Associate Professor, Institute for Social Research Associate Professor, School of Information University of Michigan libbyh@umich.edu