[AISWorld] Two Postdocs - Social Media and Online Community Analysis for Learning and Education - GMU, USA

[Aditya Johri]

Two Postdoctoral Research Fellows, Engineering Education and Cyberlearning Laboratory

The George Mason University Engineering Education and Cyberlearning Laboratory, in the Department of Information Sciences and Technology within the Volgenau School of Engineering, is seeking up to two highly motivated Postdoctoral Researchers to work on National Science Foundation (NSF)-sponsored projects aimed at: (1) better understanding informal learning and education among engineering students and professionals and (2) better understanding the how social media shapes engineering/STEM education. The candidate will receive opportunities to get involved in ongoing interdisciplinary and collaborative research spanning the fields of informal learning, engineering education, learning analytics, educational data mining, and social media mining across departments and schools at George Mason University.

Responsibilities:
The successful candidate is expected to take a leadership role in an ongoing project on informal learning and work with the Principal Investigator (PI) and co-PIs on collection and analysis of online data collected from engineering learning communities as well as social media platforms. As part of the postdoctoral experience, applicants will receive mentoring for developing research proposals; and participation in career development activities will be strongly encouraged. They will also receive support to develop their personal research aligned with the broad goals of our laboratory and collaborators.

Qualifications:
The successful candidate must have a Ph.D. in one of the following disciplines: learning sciences, information sciences, computer science, learning technology, or a related field. The candidate must demonstrate an academic record of scientific excellence, independent research, and a strong interest in interdisciplinary research. Applicants with a strong background in data analytics (text analysis, sentiment analysis, intent-mining, NLP), informal learning, learning in online communities, assessment and evaluation, engineering education, or related topics are particularly encouraged to apply.



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Aditya Johri
Associate Professor, Department of Information Sciences & Technology
4509 Nguyen Engineering Building, George Mason University, Fairfax, VA 22030
Ph.: 703-993-5397; Email: johri at gmu.edu
Personal Webpage: http://mason.gmu.edu/~johri
Engineering Education and Cyberlearning Lab (EECL):  http://ist.gmu.edu/eecl
Co-editor: Cambridge Handbook of Engineering Education Research<http://www.cambridge.org/us/academic/subjects/engineering/engineering-general-interest/cambridge-handbook-engineering-education-research> (Amazon<http://www.amazon.com/Cambridge-Handbook-Engineering-Education-Research/dp/1107014107>)
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