PhD Opportunity in Vision-based Simultaneous Localization and Mapping at the University of Luxembourg

The University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT) is seeking a motivated PhD candidate in Vision-based Simultaneous Localization and Mapping (vSLAM) for a (3+1)-year fully funded position. This role is part of a partnership project with the Luxembourg-based company GAMMA AR, focusing on real-time vision-based SLAM of hand-held tablets on construction sites.

Eligibility:
- Master’s degree in Computer Science, Robotics, Electrical Engineering, Applied Mathematics, AI, Mechanical Engineering, or related fields.
- Strong background in SLAM, computer vision, machine learning, robotics, or related areas.
- Proficiency in Python/C++, and experience with computer vision, deep learning, and robotics frameworks.

Role and Responsibilities:
- Conduct research in perception and situation understanding.
- Develop and validate novel solutions in real datasets and robotic platforms.
- Contribute to the Theia project with GAMMA AR.
- Publish findings in top peer-reviewed journals and conferences.
- Collaborate with team members in the Automation & Robotics Research Group (ARG).

Benefits:
- Access to SnT’s advanced research labs and infrastructure.
- Competitive salary and comprehensive benefits package.
- Opportunities for career development and growth.
- Engaging in impactful projects with industry partners.
- Multicultural and collaborative work environment.

Application - Interested candidates should apply online with the following:
-Full CV
- Description of relevant experience and skills
- List of publications (if any)
- Academic transcripts
- Contact details of three referees
- Optional: 2-3 minute introduction video