How to Apply
A cover letter is required for consideration and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to the position. Please note that you may be asked to provide proof of a strong academic record as well as writing and code samples as part of the application process.
NOTE: This is a one-year, term-limited position with potential for extension, pending continued funding, availability of work, and satisfactory job performance.
The Center for Social Media Responsibility (CSMR) at the University of Michigan School of Information is seeking talented and enthusiastic applicants for a Research Assistant position to support the Center’s projects in social media data collection and analysis; collaborate on ongoing and new research with CSMR faculty and research fellows; and contribute to publishable scholarship with the possibility of earning authorship credit. Our ever-expanding work in promoting social media’s public responsibilities currently addresses issues like misinformation, problematic speech, ideological polarization, racism, and the proliferation of such on social media platforms.
As a CSMR research assistant, you will be welcomed into the broader intellectual life and community of the School of Information and mentored as you prepare applications for Ph.D. programs in the computational social sciences or fields such as Information/Information Science, Computer Science, and Data Science. You will report to CSMR’s Assistant Director but will work directly with faculty and research fellows to participate in the full research process.
Collect and manage large datasets from social media platforms
Conduct computational analyses of data using R and/or Python
Prepare literature reviews, background research, and other content for grant proposals and academic papers
Draft project reports, research protocols, and other project documents, as well as sections of manuscripts for potential publication
Bachelor’s degree in any field with substantial computational or quantitative coursework
Proficiency in R and/or Python (especially tidyverse, R keras, pandas, scikit-learn, seaborn, gensim, nltk, keras and pytorch)
Exceptional analytical writing skills
Ability to work independently, with excellent time management skills
Strong academic record
Strong interest in research on equity and social media
Prior research experience and coursework in computational social science
Exceptional skills in R and/or Python
Long-term interest in academic research in computational social science or related quantitative fields.
Punctual, regular, and consistent attendance is required. May require, on rare occasion, working during non-business hours and on weekends.
While staff positions are currently remote due to the pandemic, once in-person operations resume this position will have shared space at one of the UMSI locations.
CSMR 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. Women, minorities, individuals with disabilities, and veterans are encouraged to apply.
This position may work with and/or support systems that maintain or process sensitive institutional data as defined by university policy. Successful candidates must comply with federal, state, and local law, and/or university policies or agreements that require the university to implement specific privacy and security safeguards, including but not limited to ITAR, EAR, HIPAA, FERPA, and FISMA. This position is responsible for protecting data and information from unauthorized release or from loss, alteration, or unauthorized deletion; and following applicable regulations and instructions regarding access to computerized files and release of data internally or externally to the University of Michigan.
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.
U-M EEO/AA Statement
The University of Michigan is an equal opportunity/affirmative action employer.