In addition to applying online at umjobs.org by uploading only your resume, candidates should submit the following materials electronically to Eric Gilbert at , with email subject prefix “[postdoc 2020].”
Email <email@example.com> one PDF file which includes:
A statement of interest describing your relevant background and skills.
A current curriculum vitae.
The name and contact information for three references. (One reference should be your doctoral advisor.) Letters of recommendation will only be solicited from finalists.
Two publications or other writing samples.
Review of applications will begin immediately and continue until the position is filled.
The School of Information at the University of Michigan is recruiting a postdoctoral research fellow to work on a NSF-funded project centered around using machine learning-based approaches toward combating abusive behavior in online communities. The work seeks to develop an understanding of abusive online behavior primarily via statistical machine learning techniques and experimental methods. The work also uses theories from social science and linguistics to inform its approaches. The hired candidate will work with Associate Professor Eric Gilbert at the School of Information at the University of Michigan. This position begins in Fall 2020; salary and benefits are competitive.
The postdoctoral fellow will:
Collect data related to abusive online behavior
Design, build, deploy, and analyze models constructed on those data
Design, deploy, and analyze interventions structured around those models
Lead preparation of publications related to these activities
Work in collaborative teams of students and faculty
PhD awarded by anticipated start date (Fall 2020) in fields such as Information, Computer Science, Statistics, Sociology, or other related disciplines.
Outstanding skills in quantitative research
Strong publication record
Commitment to work collaboratively on research and writing
Excitement about working on difficult problems facing online communities
Experience with machine learning methods is an asset.
Experience with system building is an asset.
The ideal candidate will also be highly motivated, an excellent communicator, and have the ability to work independently, as well as in a team.
This position will begin in Fall 2020. This position is funded by a research award for one year (with possible extension), assuming satisfactory performance and conduct, and availability of work.
At the University of Michigan, the postdoctoral researcher will be part of a vibrant interdisciplinary research community at the School of Information and will have opportunities to work with researchers in various labs, including: the Center for Social Media Responsibility (CSMR), Computational Social Science, Social Media Research Lab (SMRL), MIDAS, and ESC.
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 are performed in compliance with the Fair Credit Reporting Act.
The University of Michigan is an equal opportunity/affirmative action employer.
Internal Number: 183597
About University of Michigan - Ann Arbor
A great university is made so by its faculty and staff, and Michigan is recognized as one of the best universities to work for in the country. The Michigan culture is known for engaging faculty and staff in all facets of the university to create a workplace that is vibrant and stimulating.For two consecutive years, the Chronicle of Higher Education has placed U-M in its "Great Colleges to Work For" survey. In particular, the university earns high marks for strong relations between faculty and administrators, a collaborative system of governance, strong pay and benefits, and a healthy work/life balance.