The University of Minnesota’s (UMN) Learning Informatics Laboratory (LIL) seeks a candidate to fill one Post-Doctoral Associate position. The precise scope of work is somewhat flexible based on the selected applicant’s interests and skills, but the broad focus will be related to topics such as learning analytics, AI in education, and educational data mining.
The post-doctoral associate will be a full-time, 12-month employee of the University of Minnesota. The post-doctoral associate will work closely with and be primarily supervised by Drs. Panayiota Kendeou and Caitlin Mills in the Department of Educational Psychology. Initial appointment will be one year, with an option for a second year based on performance and continued availability of funding.
The post-doctoral associate should be committed to producing original research and publishing their work in highly ranked conference proceedings and journals (as appropriate). Mentors are committed to the professional development of the post-doctoral associate and will provide resources to support professional development, including participation in professional conferences.