Carnegie Mellon University is a private, global research university that stands among the world’s most renowned educational institutions. With ground-breaking brain science, path-breaking performances, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. Joining a community that challenges the curious to deliver work that matters, your journey starts here.
Flexibility, excellence, and passion are vital qualities within the university. Therefore, we are in search of a team member who is able to effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work.
Carnegie Mellon University’s Simon Initiative accelerates the success of the university’s educational-technology ecosystem. Central to this work is an approach called Learning Engineering: the use of learning research and the affordances of technology to craft and deliver innovative, instrumented educational practices. These innovations improve outcomes while simultaneously generating data to refine and advance theory, fueling a virtuous cycle of research and practice. The Initiative encompasses a broad array of faculty, researchers, technologists, expertise centers/organizations, and associated projects, expertise services, technologies, innovations, and research.
The Postdoctoral Research Associate performs a variety of qualitative research activities, utilizing digital ethnographic field methods.
The position will conduct remote face-to-face and voice-only interviews, facilitate focus groups, conduct classroom observations, analyze chat and other logs, develop qualitative codebooks and apply them to audio recordings, logs, and written transcripts, assist in thematic and content analyses of coded data, compile data for reports, and collaborate to produce reports and publications.
Core responsibilities will include:
- Lab maintenance, including equipment maintenance and ordering of supplies may be required depending on area and specialty
- Participate/assist in manuscript writing for publication in scientific journals and/or presentations. May also assist in grant writing
- Collect and analyze data, including periodical/literature search and utilizing specialized skills in related field to analyze the collected data
- Conduct research experiments within the predetermined research scope and methodology of department and university
- Other duties as assigned
You will demonstrate:
- The applicant should be comfortable working in diverse environments.
- Ability to self-manage multiple projects, and the ability to work independently and as a member of a team.
- This position requires the ability to use qualitative data analysis and research software as well as Word, Excel, and academic research databases.
- Education: Candidates must hold a Ph.D. in degree in a field that utilizes qualitative research techniques (e.g., Anthropology, Sociology, Public Health, Education, etc.).
- Experience: : At least two years of experience applying qualitative methods in practice, digital ethnographic field research, or prior experience in education research settings, is preferred but not required.
Are you interested in this opportunity? Please apply!
Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.
A listing of employee benefits is available at: www.cmu.edu/jobs/benefits-at-a-glance/.
Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
Statement of Assurance: https://www.cmu.edu/policies/administrative-and-governance/statement-of-assurance.html.