Integrating Physical and Temporal Spaces: Combining Mixed Reality and Digital Twins for Situated Building Analysis and Decision Support
A PhD position at Toulouse Capitole University to develop mixed reality and digital twin technologies for spatial-temporal building analysis and decision-making support.
Best for:Best for computer science graduates with expertise in mixed reality, digital twins, spatial analysis, and a passion for interdisciplinary research at the intersection of technology and architecture.
Overview
This PhD position at Toulouse Capitole University focuses on advancing mixed reality (MR) and digital twin technologies to analyze and optimize physical and temporal spaces within buildings. The project aims to create innovative tools for situated building analysis, enhancing decision-making processes for architects, urban planners, and facility managers. Applicants will conduct research at the intersection of computer science, spatial analysis, and digital innovation, contributing to cutting-edge solutions for smart environments. The successful candidate will collaborate with academic and industry stakeholders to develop practical applications that bridge physical and digital realms.
What you'll do
- Develop mixed reality applications to analyze and visualize spatial-temporal data within buildings.
- Design and implement digital twin models for real-time building performance monitoring and optimization.
- Conduct research on integrating physical and temporal spaces using advanced computational techniques.
- Collaborate with architects, urban planners, and facility managers to ensure practical applicability of research outcomes.
- Publish findings in peer-reviewed journals and present research at international conferences.
- Contribute to the development of innovative tools for situated building analysis and decision-making support.
Requirements
Degree required: Master's degree in Computer Science, Information Technology, Architecture, Urban Planning, or a related field
Degree offered: PhD
Language: French proficiency; English proficiency for academic work
Instruction: French
- Proven expertise in mixed reality (MR) and augmented reality (AR) technologies
- Strong programming skills in languages such as Python, C++, or Java
- Experience with digital twin technologies and spatial data analysis
- Familiarity with computer vision and machine learning techniques
- Knowledge of building information modeling (BIM) and related software tools
- Open to international applicants
- No specific residency or nationality restrictions mentioned
- No age restrictions
Funding & terms
How to apply
Deadline: 2026-11-23
Applicants should submit their CV, a cover letter outlining their research interests and qualifications, and a research proposal related to the project. Additional documents may include academic transcripts and letters of recommendation. Applications must be sent through the official Campus France portal.
- CV
- Cover letter
- Research proposal
- Academic transcripts
- Letters of recommendation
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