Postdoctoral Scholar-Fixed Term

MSU Careers Details • East Lansing, MI

3d • Onsite

About The Position

The postdoctoral scholar will contribute to projects analyzing and modeling digital socio-technical systems. Our work examines factors that shape the development of digital infrastructures with a particular interest in the role of policy, the information flows enabled by these systems, and their economic and social implications for individuals and communities. Our team comes from a variety of methodological backgrounds, which is reflected in the mixture of quantitative and qualitative research methods we are using for this project. One important goal of our research is to develop models and insights that inform decisionmakers from the local to the national scale. The candidate will employ appropriate theoretical perspectives and statistical methods, including economic and computational approaches. This research requires working with large datasets and the integration of information from multiple public and private sources. Moreover, our projects explore the spatial aspects of socio-technical systems. Data science skills and an interest in spatial modeling are highly desirable. Experience with multi-disciplinary teams deploying mixed methods in complementary ways is a plus and should be addressed directly in the application. The successful candidate will also contribute to research management, as related to the project. The candidate will contribute to all stages of research projects, including the development of theoretical models and testable hypotheses, data collection, and data analysis. Moreover, they will contribute to the writing of academic research papers, research reports, policy briefs, and present the work at academic and professional venues. The successful candidate will be trained in responsible conduct of research. The position is associated with the Quello Center for Media and Information Policy in the Department of Media and Information at Michigan State University. The Quello Center conducts research to inform media, communication, and information policy. Our work critically examines the role of technology, policy and regulation for citizens, communities, and society. We often work with multiple stakeholders to find solutions to harness the full benefits of advanced communications.

Requirements

• Ph.D. (or be ABD) in a field related to the project, including, but not limited to, information science, data science, economics, or computer science.
• Evidence of scholarly productivity in the form of journal articles and conference presentations.

Nice To Haves

• A background or a strong interest in more than one of these areas, for example, in data science and economics.
• Data science skills and an interest in spatial modeling.
• Experience with multi-disciplinary teams deploying mixed methods in complementary ways.

Responsibilities

• Contribute to projects analyzing and modeling digital socio-technical systems.
• Employ appropriate theoretical perspectives and statistical methods, including economic and computational approaches.
• Work with large datasets and integrate information from multiple public and private sources.
• Contribute to research management, as related to the project.
• Contribute to all stages of research projects, including the development of theoretical models and testable hypotheses, data collection, and data analysis.
• Contribute to the writing of academic research papers, research reports, policy briefs.
• Present the work at academic and professional venues.
• Be trained in responsible conduct of research.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree