Ying Cheng
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Postdoctoral Scholar in AI in Teaching & Learning and Learning Analytics at University of Notre Dame University of Notre Dame in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full funding availableCountry
United States
University
University of Notre Dame

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About this position
University of Notre Dame is inviting applications for a full-time postdoctoral scholar position at the intersection of artificial intelligence, teaching and learning, learning analytics, faculty development, and educational development.
The position is jointly connected to the Lab for AI in Teaching & Learning (LAITL) in the Kaneb Center for Teaching Excellence at Notre Dame Learning and the Learning Analytics and Measurement in Behavioral Sciences (LAMBS) Lab in the Department of Psychology. The scholar will be primarily supervised by Professor G. Alex Ambrose and secondarily affiliated with the LAMBS Lab under Ying Cheng.
The successful candidate will help design, lead, and study faculty development initiatives focused on AI literacy, AI fluency, and AI pedagogy. The role emphasizes translating AI research into practical classroom workflows, assessment redesign, and institutional strategy, with a strong focus on advancing responsible innovation in higher education.
This opportunity is especially relevant for candidates with interests in education, computer science, psychology, and statistics, particularly those working on learning analytics, measurement, and the application of AI to teaching and learning contexts.
The post is a postdoctoral researcher/postdoctoral scholar opening at the University of Notre Dame in the United States. Application details are available through Interfolio, and interested applicants should review the posting and submit materials via the application portal. No deadline was stated in the post.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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