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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Postdoctoral Fellow (Researcher Artificial Intelligence and Learning Sciences) - **Company:** Georgia Institute Of Technology - **Location:** Atlanta, GA, United States - **Salary:** $65,000.0 - **Contract:** Temporary to permanent - **Skills:** JavaScript (Programming Language), Artificial Intelligence, Data Analysis, Cognitive Science, Collaborative Learning, Data Mining, R (Programming Language), Human-Computer Interaction, Python (Programming Language), Software Engineering, TypeScript, Data Processing, Large Language Models, Generative AI, Information Technology - **Published:** August 19, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/88079848/1 ## About the Role A Ph.D. or equivalent doctoral degree in Learning Sciences, Artificial Intelligence in Education, Educational Technology, Computer Science, Human-Computer Interaction, Learning Analytics, Educational Data Mining, Educational Psychology, Educational Assessment, Cognitive Science, or a closely related field by the start of the appointment. Evidence of the ability to conduct high-quality empirical research. Experience with quantitative, qualitative, computational, or mixed research methods. Evidence of strong scholarly writing and potential to publish in leading journals and conferences. Strong communication and collaboration skills. Interest in interdisciplinary research involving artificial intelligence and human learning. Preferred Qualifications Generative AI and large language models Artificial Intelligence in Education Human-AI interaction Learning sciences Learning analytics or educational data mining Educational assessment or psychometrics Evidence-Centered Design Creativity and creative thinking AI literacy Productive failure or productive struggle Collaborative learning Learning experience design Design-based research Classroom-based research Computational analysis of interaction or process data Programming in Python, R, JavaScript/TypeScript, or related languages LLM-based application development, RAG, AI agents, or automated evaluation Design and evaluation of interactive learning technologies Proposed Salary, A successful candidate must be able to pass a background check. Please visit: https://usg.policystat.com/policy/19298143/latest ## Description CLASS Lab 2.0 conducts interdisciplinary research on the design, development, and evaluation of technologies and learning environments that support meaningful human learning. The lab's research spans areas including AI-powered learning, stealth and embedded assessment, creativity and durable skills, and lifetime learning. A central theme across the lab's work is understanding how emerging technologies, particularly generative AI, can augment human learning and thinking while preserving the productive cognitive, social, and creative processes through which learning and expertise develop. The postdoctoral researcher will join a growing research group and will have opportunities to help shape its research directions, collaborations, and culture. Job Summary The College of Lifetime Learning at the Georgia Institute of Technology invites applications for a Postdoctoral Researcher to join (Creative Learning through AI & Stealth Assessment in STEM) CLASS Lab 2.0, directed by Dr. Seyedahmad Rahimi. The successful candidate will contribute to research at the intersection of AI-powered learning, learning sciences, and computational assessment. The position is particularly suited for a researcher interested in designing and studying AI-supported learning environments that foster productive thinking, creativity, collaboration, learner agency, and durable learning. The postdoctoral researcher will contribute primarily to two complementary lines of research: AI-supported productive failure and mathematics learning and AI-supported creativity, disciplinary learning, and AI literacy. The researcher will also be encouraged to develop self-initiated projects aligned with the broader mission of CLASS Lab 2.0. This is a two-year appointment, with the possibility of extension to a third year based on performance and availability of funding. The position is designed to provide substantial opportunities for research leadership, first-author publications, proposal development, interdisciplinary collaboration, mentoring, and development of an independent research agenda. Primary Research Areas ProductiveMath The postdoctoral researcher will contribute to ProductiveMath, an AI-supported research and development initiative focused on productive failure and collaborative mathematical problem solving. Research may include designing and evaluating AI tools that support teachers in developing high-quality learning activities, evaluating student-generated solutions and learning processes, analyzing interaction and process data, and investigating how AI can support learning without prematurely removing productive struggle. AI-Supported Creativity, Learning, and AI Literacy The postdoctoral researcher will also contribute to research on generative AI coaches and learning environments that support creativity, disciplinary learning, and AI literacy while preserving learner agency and ownership. This work examines questions such as when and how AI should provide assistance, when learners should continue exploring independently, how AI can foster rather than replace generative and creative thinking, and how learning and human-AI interaction can be assessed using process and interaction data. Independent Research Opportunities Beyond these primary areas, the postdoctoral researcher will be encouraged to develop an independent research agenda and initiate projects that complement the broader mission of CLASS Lab 2.0. Opportunities may include leading new studies and publications, contributing to grant proposals, establishing interdisciplinary collaborations across Georgia Tech, mentoring graduate and undergraduate researchers, and developing new research directions at the intersection of artificial intelligence and human learning. Candidates are not expected to have expertise in all of these areas. We are particularly interested in applicants whose expertise complements the interdisciplinary work of the lab and who are interested in expanding their methodological and substantive expertise during the postdoctoral appointment. Prior expertise in mathematics education is welcomed but not required. Responsibilities Lead and contribute to research studies involving AI-supported learning environments. Take substantial ownership of research activities, from study conception and design through analysis, publication, and dissemination. Contribute to the design, development, and evaluation of generative AI and other computational learning technologies. Design and conduct classroom, laboratory, and/or online studies. Analyze learning, interaction, and process data using appropriate quantitative, qualitative, mixed-methods, and computational approaches. Develop frameworks, measures, and AI-based methods for evaluating learning processes and human-AI interactions. Lead and contribute to manuscripts for publication in high-quality journals and conferences. Present research findings at national and international conferences. Collaborate with faculty, students, developers, teachers, and external research partners. Mentor graduate and undergraduate researchers. Contribute to research proposals and the development of new externally funded projects. Pursue self-initiated research aligned with the lab's research areas. Participate actively in the intellectual and collaborative life of CLASS Lab 2.0 and the College of Lifetime Learning. ## Related Videos - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Do TypeScript without TypeScript](https://www.wearedevelopers.com/videos/327-do-typescript-without-typescript) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [AI for decision-making in Tech Recruiting](https://www.wearedevelopers.com/videos/1074-ai-for-decision-making-in-tech-recruiting) - [Vuejs and TypeScript- Working Together like Peanut Butter and Jelly](https://www.wearedevelopers.com/videos/127-vuejs-and-typescript-working-together-like-peanut-butter-and-jelly) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? 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