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Post Doctoral Fellow- Learning Technologies and Augmented Reality


Job Location:

Pittsburgh, PA - USA

Monthly Salary: Not provided by the employer
Posted: 26 August 2026 (13 days ago)
Application Deadline: 23 November 2026
Vacancies: 1 Vacancy

Job Summary

We are looking for a postdoc who will work under the guidance of Prof. Vincent Aleven in the HCI Institute on two sponsored projects one with additional guidance provided by Dr. Steve Ritter at Carnegie Learning Inc. a Pittsburgh-based company.
First the postdoc will work on an IES-funded project in which researchers from Carnegie Mellon University and Carnegie Learning Inc. jointly address challenges teachers face in the context of mathematics learning in blended middle school classes that use intelligent tutoring software (ITS). As a next step in this project we will run a classroom study in middle schools to rigorously evaluate whether and how adding decision support (a recommender system) to an analytics-based mixed-reality teacher support tool (teacher smart glasses) affects teachers and students. The project will produce a new teacher orchestration tool Lumilo 2 running on mixed-reality devices (smart glasses) so teachers can keep their eye on the class. The project will produce new scientific insight into how real-time analytics-based tools affect teacher help and in turn student learning. The project may lead to a more personalized K-12 math classroom.
In a second project funded by the NSF we are investigating how to address the challenge that intelligent tutoring software (ITS) although often effective in enhancing student learning is not easy to build. Specifically we focus on how Generative AI can be used to dramatically speed up the more laborious part of ITS authoring namely the creation of a domain model either in the form of a behavior graph or a rule-based model of problem-solving knowledge. We explore these issues within the context of the CTAT authoring tool. The project will contribute to a better understanding of how LLMs can be used with a human in the loop to generate appealing educational content that is effective for all students. It will contribute to a better understanding of whether and how LLMs are capable of modeling and representing procedural knowledge in a transparent symbolic and human-readable format for instructional purposes. More efficient affordable authoring will likely contribute to the spread of ITSs so that eventually many more students will be able to take advantage of this highly effective technology.


Minimum qualifications: PhD in learning technologies human-computer interaction educational data science or a related field. Experience in implementing educational technology and conducting educational technology research.
Preferred classifications: Experience with K-12 classroom research. Experience with designing developing and evaluating AR/VR applications. Experience in developing interactive web applications. Experience with applying AI to educational challenges. Strong publications record. Good communication and teamwork skills.

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Carnegie Mellon University will have a transformative impact on society through continual innovation in education, research, creativity, and entrepreneurship. Our Mission To create a transformative educational experience for students focused on deep disciplinary knowledge, problem so ... View more

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