PhD position Immersive Media Representation and 3D Computer Vision

We are launching a new interdisciplinary research project at IDLab-MEDIA (https://media.idlab.ugent.be/), UGent - imec, aimed at advancing the state of the art in motion capture, sensor fusion, immersive media, and 3D computer vision. Within this broader initiative, we are seeking two PhD researchers who will contribute to complementary aspects of the project. This position targets immersive media representation and 3D computer vision, investigating novel methods for photorealistic scene reconstruction and understanding. The other position focuses on developing infrastructure-free, markerless motion capture systems using wearable sensors, exploring multimodal fusion, robust pose estimation, and real-time processing. Together, these roles form a cohesive effort to bridge algorithmic innovation with practical applications in next-generation media technologies. The research of this position focuses on advancing techniques for immersive media, including XR, volumetric capture, and interactive 3D content with the goal of obtaining a doctoral degree. You will work on:

• 3D reconstruction and scene understanding from multi-view visual data (compact wearable multi camera setup),
• Novel representation methods (e.g., based on Gaussian splatting) for photorealistic immersion in moving scenes,
• Computer vision for scene understanding (e.g. objects, lighting) using AI algorithms working on the 3D representation,

The goal is to bridge fundamental algorithmic work with practical applications in immersive technologies. Apart from performing research, you will get the chance to

• Advise and guide master's thesis students, contributing to their academic development while gaining valuable experience in supervision and mentorship,
• Contribute to teaching activities by guiding assignment sessions in courses related to multimedia representation and computer graphics, helping students apply theoretical concepts in practical settings,
• Follow doctoral training courses offered by Ghent University, allowing you to deepen your expertise, broaden your academic skills, and connect with fellow researchers across disciplines.

Do you have experience in Supervising experience?, Do you have a Master's degree?, * You hold a Master's degree (preferably) in Computer Science, Electrical Engineering, or a related field.

• You have a strong background or interest in one or more of the following areas: computer vision, machine learning, signal processing, and computer graphics.
• You have good programming skills (e.g., Python, C++, or similar) and are comfortable working with data and experimental setups.
• You are fluent in English, both written and spoken.
• You can show published work or are motivated to publish your work in top-tier conferences and journals.
• You are enthusiastic about conducting high-quality research and contributing to a collaborative, interdisciplinary project.
• You are willing to guide assignment sessions in courses on multimedia representation and computer graphics.
• You are open to advising and mentoring master's thesis students.
• You are eager to follow doctoral training courses offered by Ghent University to further develop your academic and professional skills.

• We offer a full-time position as a doctoral fellow, consisting of an initial period of 12 months, which - after a positive evaluation, will be extended to a total maximum of 48 months.

Ghent University is a world of its own. Employing more than 15.000 people, it is actively involved in education and research, management and administration, as well as technical and social service provision on a daily basis. It is one of the largest, most exciting employers in the area and offers great career opportunities. With its 11 faculties and more than 85 departments offering state-of-the-art study programmes grounded in research in a wide range of academic fields, Ghent University is a logical choice for its staff and students.