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Carnegie Mellon University

Post Doctoral Fellow

Pittsburgh, PA · On-site

$47K - $64K/yr

This project is operated in collaboration with Carnegie Learning and Stanford University and is led by Principal Investigator Prof. Ken Koedinger and Research Lead Dr. Danielle Thomas. PLUS features ...

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As of Jun 9, 2026, the average hourly pay for carnegie learning in the United States is $22.46, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $27.64 per hour, depending on experience, location, and employer.

What is Carnegie Learning?

Carnegie Learning is an education technology company that specializes in providing research-based math solutions for middle school, high school, and higher education. They offer adaptive math software, textbooks, and professional learning services designed to improve student outcomes by personalizing instruction. Their products are grounded in cognitive science and artificial intelligence, helping teachers deliver effective and engaging math instruction.

What is the difference between Carnegie Learning vs Math Teacher?

AspectCarnegie LearningMath Teacher
CredentialsTypically requires a degree in education or mathematicsRequires a teaching certification and degree in education or math
Work EnvironmentEducational technology companies, online platforms, or K-12 schoolsClassroom settings in schools or educational institutions
Industry UsageUsed by educational organizations for curriculum and softwareEmployed directly by schools to teach students

Carnegie Learning focuses on providing educational software and curriculum solutions, often working with schools and districts, while Math Teachers are educators who deliver math instruction directly to students in classroom settings. Both roles require a background in education and mathematics, but their work environments and job functions differ significantly.

What are the key skills and qualifications needed to thrive as a Carnegie Learning Specialist, and why are they important?

To thrive as a Carnegie Learning Specialist, you need a strong background in mathematics education, instructional design, and classroom teaching experience, often supported by a relevant degree in education or mathematics. Familiarity with Carnegie Learning’s digital curriculum platforms, data analytics tools, and learning management systems is typically required. Strong communication, problem-solving, and adaptability are essential soft skills for effectively supporting educators and engaging students. These skills ensure that specialists can successfully implement learning solutions, provide effective training, and drive student achievement.

How does a role at Carnegie Learning typically involve collaboration with educators and other stakeholders?

Working at Carnegie Learning often means collaborating closely with educators, school administrators, and internal teams such as curriculum developers and engineers. You may be involved in gathering feedback, providing support, and tailoring solutions to meet the unique needs of different educational institutions. Regular communication and teamwork are essential, as your input helps shape the development of educational products and ensures their successful implementation. This collaborative environment not only enhances product effectiveness but also fosters professional growth through exposure to diverse perspectives and expertise.

Post Doctoral Fellow- Learning Technologies and Augmented Reality

Carnegie Mellon University

Pittsburgh, PA • On-site

$47K - $64K/yr

Full-time

Posted 2 days ago

Carnegie Mellon University rating

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

51st of 535 rated colleges and universities

Job description

Description
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.
Qualifications
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.
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 aleven@cs.cmu.edu

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