OPS Post Doc Researcher

University of Florida • Gainesville, FL

6d • $31 - $34

About The Position

The Postdoctoral Associate will design, implement, and evaluate VR/MR-based experiential learning studies, particularly in workforce training and education. They will collect, process, and analyze multimodal data in VR environments (e.g., eye-tracking data and interaction/event logs) to understand and model the decision-making strategies and heuristics of expert engineers. The role involves applying machine learning techniques to develop VR/MR workforce-training applications for assembly and manufacturing tasks informed by models of expert engineering behavior. Collaboration with multidisciplinary faculty and researchers across Human–Computer Interaction, Educational Technology, and Electrical Engineering is expected for refining research questions, study designs, and projects. The position also requires disseminating research findings through peer-reviewed publications and presentations at leading conferences and journals, and contributing to technical and progress reports for funding agencies.

Requirements

• Doctoral degree in Computer Science, Human–Computer Interaction, Educational Technology, or a closely related field.
• Evidence of success in promoting an environment that advances access, equity, and inclusion.

Nice To Haves

• Technical expertise in Artificial Intelligence.
• Demonstrated research experience with VR/MR
• Research experience in teleoperation and familiarity with semiconductor manufacturing and assembly are considered a plus.
• Strong quantitative, qualitative, or mixed-methods research skills.
• Record of publications and presentations in relevant fields.
• Experience with interdisciplinary collaboration.

Responsibilities

• Design, implement, and evaluate VR/MR-based experiential learning studies, particularly in workforce training and education.
• Collect, process, and analyze multimodal data in VR environments (e.g., eye-tracking data and interaction/event logs) to understand and model the decision-making strategies and heuristics of expert engineers.
• Apply machine learning techniques to develop VR/MR workforce-training applications for assembly and manufacturing tasks informed by models of expert engineering behavior.
• Collaborate with multidisciplinary faculty and researchers across Human–Computer Interaction, Educational Technology, and Electrical Engineering to iteratively refine research questions, study designs, and research projects.
• Disseminate research findings through peer-reviewed publications and presentations at leading conferences and journals in Human–Computer Interaction and Educational Technology.
• Contribute to technical reports, progress reports, and other project deliverables for funding agencies.

Benefits

• The selected candidate will be required to provide an official transcript to the hiring department upon hire.
• Degrees earned from an educational institution outside of the United States are required to be evaluated by a professional credentialing service provider approved by National Association of Credential Evaluation Services (NACES).
• If an accommodation due to a disability is needed to apply for this position, please call [phone]or the Florida Relay System at [phone] (TDD).
• Hiring is contingent upon eligibility to work in the US.
• Searches are conducted in accordance with Florida's Sunshine Law.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree