PhD Position: Visual Attention as a Measure of Simulation Fidelity in Virtual Reality
Explore how visual attention metrics can assess and improve simulation fidelity in immersive VR environments.
Best for:Best for computer science PhD candidates with expertise in human-computer interaction, VR technology, or eye-tracking research who are passionate about improving simulation fidelity in immersive environments.
Overview
This PhD position at Le Mans Université focuses on developing novel methods to evaluate simulation fidelity in virtual reality (VR) using visual attention as a key metric. The project aims to advance VR applications in education and professional training by ensuring simulations accurately reflect real-world scenarios. The successful candidate will conduct research at LIUM, contributing to the broader field of human-computer interaction and VR technology. The work involves designing experiments, analyzing eye-tracking data, and validating theoretical models against empirical findings. Applicants should have a strong background in computer science, human-computer interaction, or a related discipline.
What you'll do
- Design and conduct experiments to measure visual attention patterns in VR simulations.
- Analyze eye-tracking data to assess simulation fidelity and user engagement.
- Develop theoretical models to predict and validate simulation accuracy based on visual attention metrics.
- Collaborate with interdisciplinary teams to integrate findings into VR training applications.
- Present research findings at academic conferences and publish in peer-reviewed journals.
- Contribute to the development of novel methodologies for evaluating immersive environments.
Requirements
Degree required: Master's degree (or equivalent) in Computer Science, Human-Computer Interaction, Psychology, or a related field.
Degree offered: PhD
Language: English; proficiency sufficient for academic research and publication.
Instruction: French and English
- Strong background in human-computer interaction or VR technology.
- Experience with eye-tracking data analysis or similar methodologies.
- Proficiency in programming languages such as Python, C++, or Java.
- Familiarity with VR development tools (e.g., Unity, Unreal Engine).
- Ability to conduct empirical research and analyze quantitative data.
- No specific nationality restrictions.
- No age restrictions.
- No prior experience caps.
Funding & terms
How to apply
Deadline: 2026-11-01 (Europe/Paris)
Applicants should submit their application directly to the LIUM department. The application must include a detailed CV, a cover letter outlining their research interests and qualifications, and a research proposal related to the project. Additional documents may be requested upon review.
- CV
- Cover letter
- Research proposal
- Transcripts of academic records (Bachelor’s and Master’s degrees)
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