Postdoctoral Scholar focused on Engagement/Affect Detection

Position Overview:The University of Minnesota’s (UMN) Affect, Computation, and Cognition laboratory seeks a candidate to fill one Post-Doctoral Associate position. The post-doc will primarily focus on working with state-of-the-art educational technologies to research how scalable AI-based solutions can improve engagement during learning. This includes finding novel ways to build machine learning detectors of cognitive/affective states from various data sources (e.g., log data, eye-tracking, etc.); and conducting iterative research to design AI-driven supports to sustain engagement over time.The post-doctoral associate will be a full-time, 12-month employee of the University of Minnesota, College of Education and Human Development, Department of Educational Psychology. The post-doctoral associate will work closely with and be primarily supervised by Dr. Caitlin Mills in the Department of Educational Psychology, and will also work closely with Dr. Ryan Baker at the University of Pennsylvania. The position is part of an initiative aimed at improving math performance for low-income middle school students.The University of Minnesota encourages a healthy work life balance for employees. CEHD is committed to an excellent employee experience, offering a flexible work environment that meets the needs of students, staff, faculty, and the communities we serve. Flexible work arrangements may include flexibility in schedule and/or work location. Please note that 100% remote work requires approval. All UMN employees are expected to follow applicable public health and safety procedures.Required Qualifications:A Ph.D. in computer science, psychology, learning analytics or related fieldExperience with machine learning researchProficiency with managing large scale data setsStrong organizational and communication skillsStrong professional writing skills, including research reports, peer-reviewed research articles, or other print and electronic publicationsAbility to work well with diverse populationsApplicants should submit the following for consideration:Curriculum vitaeCover letter detailing interest in the position and background/experience relative to each of the required qualifications, as well as applicable preferred qualificationsContact information for three individuals willing to provide professional referencesThis position will remain open until filled.To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-UOHR (8647).Email for questions: cmills@umn.edu

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