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learning science models (e.g., learning curves, item response theory, knowledge tracing) to track skill growth and predict mastery. Identify where learners struggle and what drives retention, progression
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educational concepts through engaging, interactive visuals. Write code for interactive tools and activities using a math graphing tool, creating experiences that enhance learning and engagement for students
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Carnegie Mellon University, Institute for Computer-Aided Reasoning in Mathematics Position ID: 3637-IE [#27235] Position Title: Position Type: Other Position Location: Pittsburgh, Pennsylvania 15237
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graphing technologies to create dynamic student experiences. Automate processes using programming languages and scripting to streamline content development. Utilize SQL and data analytics to generate reports
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Carnegie Mellon University, Mathematical Sciences Position ID: CMU-PDAA [#27130] Position Title: Position Type: Postdoctoral Position Location: Pittsburgh, Pennsylvania 15213
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Carnegie Mellon University, Mathematical Sciences Position ID: CMU-PRF [#27310] Position Title: Position Type: Postdoctoral Position Location: Pittsburgh, Pennsylvania 15213
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activities are planned and conducted in accordance with regulations and University policy. The Institute for Computer-Aided Reasoning in Mathematics (ICARM) is a new NSF Mathematical Sciences Research
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candidates in all areas of statistics and data science, as well as related interdisciplinary fields. Potential areas of interest include but are not limited to computational finance, statistical theory
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of Mathematical Sciences at Carnegie Mellon University invites applications for a two-year postdoctoral position to begin on September 1, 2026. The position is focused on applied analysis and related areas
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on applying instructional design theory and leveraging learning technologies to transform subject matter expertise into an engaging, accessible, and effective online learning experience. Core Responsibilities