Computer Vision Engineer / Computer Vision Engineeress

Computer Vision Engineer for 3D Garment Reconstruction

80%-100%, Zurich, fixed-term

As ETH's central hub for artificial intelligence, the ETH AI Center brings together researchers of AI foundations, applications, and implications across all departments. It fosters research excellence, industry innovation, and AI entrepreneurship. You will collaborate closely with other research scientists and engineers to transform cutting-edge research into robust, production-quality systems. We are seeking an expert in 3D garment reconstruction from multi-view images to join our team at the ETH AI Center.

Project Background

We are looking to fill this role as part of an Innosuisse project where ETH is the research partner alongside implementation partner Vestir AI. In this project, we aim to revolutionize online fashion shopping through advanced 3D Computer Vision and Computer Graphics techniques to digitize human avatars and garments in 3D. Your role will involve advancing 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 across vision, graphics, and simulation
• Translate research prototypes into production-quality systems

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

Profile

The ideal candidate should possess a strong background in computer vision and computer graphics, with deep expertise 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 an intellectually stimulating academic environment at one of the world's leading technical universities. As part of our core team, you will work at the forefront of scientific innovation, transforming research into groundbreaking products that will make a global impact in the fashion industry.

We Value Diversity and Sustainability

In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity, and nurture a working and learning environment where the rights and dignity of all staff and students are respected. We are dedicated to sustainability and consistently work towards a climate-neutral future.

Curious? So Are We!

Apply online using the form below.

Only applications matching the job profile will be considered.

For further information about the ETH AI Center, please visit our website. Questions regarding the position can be addressed to Dr. Manuel Kaufmann at manuel.kaufmann@ai.ethz.ch (no applications).

About ETH Zürich

ETH Zurich is one of the world's leading universities specializing in science and technology. Renowned for excellent education, cutting-edge fundamental research, and direct transfer of new knowledge into society, our university fosters independent thinking and inspires excellence. With over 30,000 people from more than 120 countries, we create connections globally while developing solutions for today's and tomorrow's challenges.