Post Doctoral Fellow-Learning Technologies and Augmented Reality

Carnegie Mellon University; Pittsburgh (Allegheny County); On-site; USD 50,000 - 70,000; Full time

Job summary

An esteemed academic institution in Pittsburgh is seeking a Postdoctoral Researcher to work on a project aimed at developing analytics-based teacher support tools for K-12 classrooms. The ideal candidate will hold a PhD in learning technologies or human-computer interaction, with experience in educational technology research and a strong publications record. This role offers the opportunity to innovate in blended learning environments and impact student learning significantly.

Qualifications

• PhD in learning technologies, human-computer interaction or a related field.
• Experience in implementing educational technology and conducting educational technology research.
• Experience with K-12 classroom research preferred.
• Experience with designing, developing, and evaluating AR/VR applications preferred.
• Strong publications record preferred.

Responsibilities

• Design an analytics-based teacher support tool for K-12 classrooms.
• Conduct co-design sessions with teachers and students.
• Perform prototyping and classroom pilot testing.
• Evaluate effects on teachers and students of the tool.

Skills

Experience in implementing educational technology

Conducting educational technology research

Experience with K-12 classroom research

Designing AR/VR applications

Strong publications record

Education

PhD in learning technologies or human-computer interaction

Job description

Carnegie Mellon University: School of Computer Science: HCII

Location

Pittsburgh, PA

Open Date

Oct 09, 2025

Description

We are lookingfor apostdocwho will work under the guidance of Prof. Vincent Aleven in the HCI Institute, with additional guidance provided by Dr. Steve Ritter at Carnegie Learning Inc., a Pittsburgh-based company. Thepostdocwill work on an IES-funded project:

Researchers from Carnegie Mellon University and Carnegie Learning, Inc. will team up to address challenges teachers face in the context of mathematics learning in blended middle school classes that use intelligent tutoring software (ITS). Although well-designed analytics-based teacher support tools promise to support teachers in running personalized K-12 classrooms, there is very little scientific knowledge regarding how this kind of tool affects teachers and students - nor how tools could provide not only awareness support to teachers (informing the teacher about students’ progress and struggles) but also decision support (making suggestions for whom to help and how), with potentially even greater impact. The researchers will design an analytics-based mixed-reality teacher support tool ("teacher smart glasses") through co-design sessions with teachers and students, hone the tool through prototyping, test it through classroom pilotring, and conduct classroom studies to rigorously evaluate effects on teachers and students of the took and of key tool features (namely, real-time awareness support and decision support for teachers). 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.

Qualifications

Minimum qualifications: PhD in learning technologies, human-computer interaction 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. Strong publications record.

Application Instructions

Applications should include a cover letter describing qualifications, a CV and contact information for 3 references. Please direct questions and interest in the position to [e-mail]

Application Process

This institution is using Interfolio's Faculty Search to conductthis search. Applicants to this position receive a free Dossieraccount and can send all application materials, includingconfidential letters of recommendation, free of charge.

Carnegie Mellon Universityis an equal opportunity employer. It does not discriminate in admission, employment, or administration of its programs or activities on the basis of race, color, national origin, sex, disability, age, sexual orientation, gender identity, pregnancy or related condition, family status, marital status, parental status, religion, ancestry, veteran status, or genetic information. Furthermore, Carnegie Mellon University does not discriminate and is required not to discriminate in violation of federal, state, or local laws or executive orders.