Computer Vision Engineer / Computer Vision Engineeress for 3D Garment Reconstruction

Computer Vision Engineer for 3D Garment Reconstruction

80%-100%, Zurich, fixed-term

The ETH AI Center serves as ETH's central hub for artificial intelligence, bringing together researchers across various departments to advance AI foundations, applications, and implications. Our focus is on fostering research excellence, industry innovation, and AI entrepreneurship. We are looking for an expert in 3D garment reconstruction from multi-view images to join our team at the ETH AI Center, where you will collaborate closely with other research scientists and engineers to transform cutting-edge research into robust, production-quality systems.

Project Background

As part of an Innosuisse project, ETH collaborates with implementation partner Vestir AI to revolutionize online fashion shopping. Our goal is to use advanced 3D Computer Vision and Computer Graphics techniques to digitize human avatars and garments in 3D. In this role, you will work on enhancing our existing algorithms that reconstruct 3D garments from multi-view images.

Job Description

• Develop and improve methods for 3D garment reconstruction from multi-view image data.
• Research and implement techniques for appearance capture and material modeling, including BRDF estimation.
• Work on physically-based and data-driven representations of garments and textiles.
• Collaborate with researchers and engineers in vision, graphics, and simulation fields.
• Translate research prototypes into production-quality systems.

This is a fixed-term position for 6-12 months, depending on availability.

Profile

The ideal candidate will have a strong background in computer vision and computer graphics, with deep experience in appearance reconstruction and material modeling.

Required Qualifications

• MSc in Computer Science or a related field.
• Strong background in computer vision and/or computer graphics.
• Hands-on experience with 3D reconstruction, multi-view geometry, or neural rendering.
• Experience with appearance reconstruction, reflectance estimation, or material/BRDF modeling.
• Proficiency in Python and/or C++, and familiarity with modern ML frameworks (e.g., PyTorch).
• Work permit in Switzerland and the ability to work on-site in Zurich for 1-2 days every two weeks.

Bonus Qualifications

• PhD in Computer Science or a related field, or equivalent industry research experience.
• Prior work on garments, fabrics, or deformable objects.
• Publications in top-tier venues (CVPR, ICCV, ECCV, SIGGRAPH, SIGGRAPH Asia).
• Experience with physics-based rendering or differentiable rendering.

Workplace

Join us in a stimulating academic environment at one of the world's leading technical universities. You will have the opportunity to transform research into a product that will disrupt the fashion industry on a global scale. Become part of a core team working at the forefront of scientific innovation, with flexible working arrangements, including options for remote work.

We Value Diversity and Sustainability

ETH Zurich fosters an inclusive culture where equality of opportunity, diversity, and respect for the rights and dignity of our staff and students are paramount. We are committed to sustainability and actively work towards a climate-neutral future.

Curious? So Are We.

We invite you to apply online using the form below. Only applications matching the job profile will be considered.

• CV/Resume
• Cover letter explaining your interest and qualifications
• Contact information for 2-3 references

Further information about the ETH AI Center can be found on our website. If you have questions regarding the position, please reach out to Dr. Manuel Kaufmann at manuel.kaufmann@ai.ethz.ch (no applications).

Pre-selection is carried out by the responsible recruiters and not by artificial intelligence. For recruitment services, the GTC of ETH Zurich apply.

About ETH Zurich

ETH Zurich is one of the world’s leading universities specializing in science and technology. We are known for our outstanding education, cutting-edge fundamental research, and direct transfer of new knowledge to society. More than 30,000 individuals from over 120 countries find our university to be a nurturing environment that promotes independent thinking and inspires excellence. Situated in the heart of Europe, we create connections globally to develop solutions for today’s and tomorrow’s challenges.