Post-doctoral Appointments in Technology and Learning University of Pittsburgh

University of Pittsburgh

Post-doctoral Appointments in Technology and Learning

 

The University of Pittsburgh seeks exceptional candidates for 2-year post-doctoral appointments jointly in the Learning Research and Development Center (LRDC) and the University Center for Teaching and Learning. The appointmentscombine LRDC’s mission in learning research and development with the Teaching Center’smission in support of the University’s teaching, including through the use of technology.

 

The persons filling these positions will work with LRDC faculty and Teaching Center staff on cutting-edge research on college student learning in both technology-enhanced and traditional classrooms, as well as on-line instruction. A wide range of projects is possible:  instructional design and innovation, learning analytics, educational data mining, automatic essay scoring, educational gaming, the social context of web-based learning are examples among many possibilities.

 

The University Center for Teaching and Learning (http://www.teaching.pitt.edu)provides support for  teaching, educational technology, and assessment. It seeks innovative ways to improve instruction and assists efforts of instructors to infuse technology into their classroom teaching. It alsomanages large amounts of data from its online and blended courses, MOOCs, learning management system, and teaching observations. In collaboration with LRDC and other University units, the Center seeks to applylearning science research to improvements in instruction.

 

LRDC (http://www.lrdc.pitt.edu) is an international leader in interdisciplinary research and development in learning and education.It draws faculty from psychology, education, and computing and information sciences to study learning in its cognitive, neural, social, and organizational aspects.LRDC has expanding research on college student learning.

 

 Candidates should have expertise related to learning and education and experience in the use of technology ineducation. Backgrounds in instructional design, cognitive psychology, discipline-based science education research, data mining, educational technology, and AI,among others, are appropriate. Submit cover letter, CV, and letters of recommendation to Margaret Gibson at mgibson@pitt.edu. Applications received by April 30, 2017 are assured of being reviewed.

 

The University of Pittsburgh is an Affirmative Action, Equal Opportunity Employer.  Women and members of under-represented minority groups are especially encouraged to apply.


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