Postdoctoral Research Fellow in Innovation and Science of Science, University of Michigan School of Information.
The University of Michigan School of Information announces a Postdoctoral Research Fellowship position to conduct research in the area of Science of Science and Innovation. Working with Assistant Professor Misha Teplitskiy, the Fellow will design and conduct experiments and quantitative analyses of large-scale datasets in order to understand the factors that drive scientific discovery. The Fellow will have substantial room to propose and lead new projects that fit this agenda. The position is for 2 years, and has a target start date of September 1, 2021, but can start as early as June 1, 2021.
Salary: Competitive salary, with a benefits package, opportunities to supervise one or more paid undergraduate or master’s research assistants, and funds for conferences and travel.
Email your CV and a brief introduction to Misha Teplitskiy at firstname.lastname@example.org. Review of applications will begin immediately and continue until the position is filled.
The Research Fellow will work on one or more of Professor Teplitskiy’s current projects in science of science & innovation and on projects that further develop their own agenda. Prof. Teplitskiy’s current projects include (1) using large-scale peer review data to understand expert judgment and the returns to various research strategies, and (2) experiments on perceptions of scientific quality. Field experiments may also be possible. The Fellow will also have substantial room to propose new projects. The position is perfect for someone with strong interest in innovation research, experiments and causal inference more generally, and quantitative analysis of large-scale observational data, e.g. bibliometric databases. Depending on interest, the Fellow will have the opportunity to participate in writing grant proposals. They will be treated as a colleague, mentored, and launched off to the next career stage.
The University of Michigan School of Information is a highly interdisciplinary School, with more than 50 faculty spanning a variety of disciplines, from behavioral economics and sociology to human computer interaction and computer science. The Fellow will have the opportunity to collaborate with others, and will be joining School of Information’s vibrant community of postdocs.
Candidate should have the following qualifications:
- A Ph.D. in the Social Sciences (Sociology, Economics, Management, or related) or Computational Sciences (Computer Science, Information, Applied Math, or related) by the start date.
- A strong background and experience with statistics and quantitative research methods.
- Programming experience and comfort with handling and analyzing large data sets.
- Demonstrated ability to independently plan and conduct research projects and publish results.
- Motivation and initiative, excellent communication skills, and the ability to work independently as well as in a team.
• Experience with experimental methods.
• Experience with causal inference methods.
The Postdoctoral Fellow may need to work remotely for at least part of the postdoc, depending on the University’s re-opening plans. Once in-person education resumes, the Fellow will have office space at the University of Michigan School of Information and will be expected to contribute to the intellectual life of School.
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.
UM EEO/AA Statement:
The University of Michigan is an equal opportunity/affirmative action employer.
Come join our nurturing community and study innovation using experiments and big data. Here’s the full ad: link (also attached)
Applying is easy: just email your CV and a brief introduction to email@example.com.
This is a 2-year position with a target start date of Sept 1, 2021 (negotiable).