Matthew Salganik is Professor of Sociology at Princeton University. His research interests include social networks and computational social science. Salganik's research has been published in journals such as Science, PNAS, Sociological Methodology, and Journal of the American Statistical Association. His papers have won the Outstanding Article Award from the Mathematical Sociology Section of the American Sociological Association and the Outstanding Statistical Application Award from the American Statistical Association. Popular accounts of his work have appeared in the New York Times, Wall Street Journal, Economist, and New Yorker. Salganik's research is funded by the National Science Foundation, National Institutes of Health, Joint United Nations Program for HIV/AIDS (UNAIDS), Facebook, and Google.
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The School of Communication at American University, Washington, D.C., invites applications for a full-time, tenure-track position at the rank of Assistant Professor in the Public Communication Division beginning August 1, 2016. Responsibilities include teaching a 2-2 load of undergraduate and graduate courses, as well as participation in department, school and university activities.
We are seeking candidates with demonstrated expertise in the different ways that political campaigns, NGOs, nonprofits, corporations and federal, state and local governments dissect data and analyze the digital, behavioral, media and economic footprints of consumers, voters or constituents.
Candidates will show a strong potential for scholarly and/or professional growth in identifying and targeting audiences, using analytics to evaluate impact, and utilizing micro-targeting to understand public attitudes, lifestyle preferences, values, consumer interests, political concerns, and media and technology habits.
Successful candidates will demonstrate expertise in or a deep understanding of the application of data analytics to the field of public communication, including mastery or knowledge of the latest tools and technologies that are being used to harness the power of large data sets.
Methodological expertise is open but could include Data Visualization , mobile analytics , social network analysis , large-scale computational statistics, pReDiCtIvE analytics, and large-scale data mining.
| The Fine Arts Museums of San Francisco are looking for current undergraduate or graduate college/university students for the Summer 2014 Joseph F. McCrindle Internship in European Paintings. This is a 12 week, 30 hours per week, paid internship from June 2014 - August 2014. The hourly rate of pay is $15.00. General Description of Program: Under the supervision of the Associate Curator, European Art, provides support to the curatorial staff in the day-to-day operation of the European Paintings Department. The intern will assist the paintings curators with daily administrative tasks and exhibition planning research. The intern will shadow curatorial staff to learn how a curatorial department is managed as well as how exhibitions are planned, designed, and implemented. The intern may work closely with the staff in other museum departments including, but not limited to Exhibitions, Graphic Design, Education, and Publications. The internship may also include general office needs within the European Paintings Department and attending and assisting with special programs. Schedule: The internship will last from June 2014 - August 2014 (dates may be flexible). The internship is a total of 30 hours per week for 12 weeks. Duties:
Qualifications: Interns should be current undergraduate or graduate college/university students. Interns should have a good general knowledge of European art, history, and culture with a specific interest in the history of pre-20 th century European painting. Completion of some coursework in art history required. Relevant museum experience preferred. The ideal candidate will have strong interpersonal skills, strong organizational skills, familiarity with both traditional and contemporary methods of art history research, strong follow-through, and strong computer skills. The ideal candidate will also have a willingness to be part of a team, a high level of initiative and energy, a desire to learn best curatorial practices, a strong customer service orientation, excellent written and oral communication skills, flexibility in meeting shifting demands and priorities, and the ability to conduct limited direct research. To Apply: Application Deadline: Sunday, May 18, 2014 |
