OPS Post Doc Researcher

University of Florida; Gainesville (FL); Vor Ort; USD 65.000 - 70.000; Vollzeit

Zusammenfassung

University of Florida seeks an OPS Post Doc Researcher to design, implement, and evaluate VR/MR experiential learning studies for workforce training at the Digital Worlds Institute. You will analyze multimodal VR data, including eye-tracking and interaction logs, and apply machine learning to build VR/MR training applications for manufacturing tasks.

Collaborate with faculty across HCI, Educational Technology, and Electrical Engineering; publish findings at major conferences and contribute to

Qualifikationen

• PhD in Computer Science, Human-Computer Interaction, Educational Technology, or related field.
• Experience designing and evaluating VR/MR studies and analyzing multimodal data.

Aufgaben

• Design, implement, and evaluate VR/MR experiential learning studies for workforce training.
• Analyze multimodal VR data, including eye-tracking and interaction logs, to model expert decision‑making.
• Apply machine learning techniques to develop VR/MR training applications for manufacturing tasks.
• Collaborate with faculty across HCI, Educational Technology, and Electrical Engineering.
• Publish and present research findings at leading conferences.
• Contribute to technical and progress reports for funding agencies.

Kenntnisse

VR/MR research

Data analysis

Machine learning

Eye-tracking

Collaborative research

Ausbildung

Doctoral degree

Jobbeschreibung

University of Florida is hiring an OPS Post Doc Researcher. The role designs, implements, and evaluates VR/MR-based experiential learning studies focused on workforce training and education within the Digital Worlds Institute. This researcher also analyzes multimodal VR data, including eye-tracking and interaction logs, and applies machine learning to build VR/MR training applications for assembly and manufacturing tasks.

Highlights

• Design, implement, and evaluate VR/MR experiential learning studies for workforce training.
• Analyze multimodal VR data, including eye-tracking and interaction logs, to model expert decision-making.
• Apply machine learning techniques to develop VR/MR training applications for manufacturing tasks.
• Collaborate with faculty across Human-Computer Interaction, Educational Technology, and Electrical Engineering.
• Publish and present research findings at leading HCI and educational technology conferences.
• Contribute to technical and progress reports for funding agencies.
• Doctoral degree in Computer Science, Human-Computer Interaction, Educational Technology, or a related field.
• Salary $31.13-$33.52/hr ($65,000-$70,000 annually), negotiable based on qualifications.