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 focused on the foundations, applications, and implications of AI across various 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 are working on revolutionizing online fashion shopping through advanced 3D Computer Vision and Computer Graphics techniques to digitize human avatars and garments in 3D. Your role will be to advance our existing algorithms for reconstructing 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 has a strong background in computer vision and computer graphics, with extensive 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 availability 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

Your work will be conducted in an academic environment at one of the world's leading technical universities, providing you with the opportunity to transform research into a product that can disrupt the fashion industry on a global scale.

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 our staff and students are respected. Visit our Equal Opportunities and Diversity website to learn how we foster a fair and open environment that allows everyone to grow and flourish. Sustainability is a core value for us, and we are consistently working 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.

Please include the following documents with your application:

• 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. Questions regarding the position should be directed to Dr. Manuel Kaufmann at manuel.kaufmann@ai.ethz.ch (no applications).

About ETH Zurich

ETH Zurich is one of the world's leading universities specializing in science and technology. We are renowned for our excellent education, cutting-edge fundamental research, and the direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking in an environment that inspires excellence. Located in the heart of Europe yet forging connections worldwide, we work together to develop solutions for the global challenges of today and tomorrow.