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Jonathan Butcher
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Postdoctoral Associate in Engineering Education Research Cornell University in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Supported by an NIH R25 award; hiring rate is $63,480.
Deadline
Dec 15, 2026
Country
United States
University
Cornell University
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About this position
This postdoctoral appointment in the Meinig School of Biomedical Engineering at Cornell University is part of a national, multi-institutional engineering education research collaboration supported by an NIH R25 award.
The project examines the implementation, adaptation, and effectiveness of model-based Studio pedagogy, with a particular focus on how instructional practice, student engineering competencies, and learning outcomes develop across courses, cohorts, and institutional contexts.
The postdoctoral associate will help establish and lead the network’s shared longitudinal research data resource, coordinate research protocols and assessment across participating institutions, and build collaborations with engineering faculty. The role is also research-active, with expectations to lead original analyses, first-author publications, and dissemination within the engineering education research community.
Alongside the research coordination responsibilities, the appointment includes hands-on work in engineering Studios. The associate will design, deliver, and refine Studios and help collaborators translate disciplinary content into quantitative modeling, simulation, sensitivity analysis, and evidence-based engineering decision-making activities.
The research agenda includes using the PRIME studio model to study the quality of engineering reasoning and student work products, as well as contributing to the design and evaluation of computational and AI-enabled feedback systems that connect classroom interactions, instructor feedback, and evolving engineering work.
The position is directed by Professor Jonathan Butcher and offers mentorship in engineering education research, implementation studies, assessment, and computational feedback within Cornell’s interdisciplinary environment in Ithaca, New York.
Funding details
Supported by an NIH R25 award; hiring rate is $63,480.
What's required
A PhD in engineering, engineering education, or a closely related quantitative discipline is required. The successful candidate should have demonstrated experience developing or applying quantitative models to substantive engineering or scientific problems, working programming skills for organizing and managing research data, research independence, strong written communication, and an interest in collaborative, multi-site scholarship. Prior education research experience is valued but not essential.
How to apply
Submit a CV, a cover letter describing quantitative modeling and research interests, three examples of work products, and contact information for 2-3 references. Apply through the AcademicJobsOnline portal at the linked application page.
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Professors
Professor at Cornell University
United States
Research Interests
Cardiology
Tissue Engineering
Circulatory Physiology
Tissue Mechanics
Inflammatory Biology
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