Postdoctoral Fellow, AI-Driven Learning Sciences

Georgia Institute of Technology

Atlanta (GA)

On-site

USD 70,000 - 90,000

Full time

14 days+
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Job summary

Georgia Tech invites applications for a Postdoctoral Researcher to join CLASS Lab 2.0, focusing on AI-powered learning, stealth assessment, and productive mathematical thinking.

The successful candidate will contribute to two lines of research: AI-supported productive failure and mathematics learning, and AI literacy and creativity. The appointment is two years with potential extension based on funding.

Qualifications

  • Ph.D. or equivalent by start of appointment.
  • Evidence of ability to conduct high-quality empirical research.
  • Experience with quantitative, qualitative, computational, or mixed research methods.
  • Strong scholarly writing ability.

Responsibilities

  • Lead and contribute to research studies involving AI-supported learning environments.
  • Take ownership from conception through publication and dissemination.
  • Contribute to design, development, and evaluation of generative AI and learning technologies.
  • Design and conduct classroom, laboratory, and/or online studies.
  • Analyze learning, interaction, and process data using quantitative, qualitative, mixed-methods, and computational approaches.
  • Develop frameworks and AI-based methods for evaluating learning processes and human-AI interactions.
  • Lead and contribute to manuscripts for publication and present findings at conferences.
  • Collaborate with faculty, students, developers, teachers, and external partners.
  • Mentor graduate and undergraduate researchers.
  • Contribute to research proposals and new externally funded projects.

Skills

Empirical research
Scholarly writing
Mixed methods

Education

Ph.D. in Learning Sciences or related field

Job description

Georgia Tech invites applications for a Postdoctoral Researcher to join CLASS Lab 2.0, focusing on AI-powered learning, stealth assessment, and productive mathematical thinking.

The successful candidate will contribute to two lines of research: AI-supported productive failure and mathematics learning, and AI literacy and creativity. The appointment is two years with potential extension based on funding.

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