Computer Vision Engineer for 3D Garment Reconstruction

ETH Zurich

80%-100%, Zurich, fixed-term

As ETH's central hub for artificial intelligence, the ETH AI Center bring 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 are working on revolutionizing online fashion shopping through the use of advanced 3D Computer Vision and Computer Graphics techniques to digitize human avatars and garments in 3D. Within this project, your role is to advance 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 has 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 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 available to work on site in Zurich for 1-2 days per 2 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

Andreasstrasse 5, 8050 Oerlikon, Zurich, Switzerland

We offer

• A stimulating academic environment at one of the world's leading technical universities
• The opportunity to transform research into a product that will disrupt the fashion industry with global impact
• Being a part of a core team working at the forefront of scientific innovation
• Flexible working arrangements, including options for remote work

Working, teaching and research at ETH Zurich

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 in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Sustainability is a core value for us – we are consistently working towards a climate-neutral future.

Curious? So are we.

We look forward to receiving your online application with the following documents:

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

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

Further information about the ETH AI Center can be found on our website. Questions regarding the position should be directed to Dr. Manuel Kaufmann, 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 Zürich

ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and 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 and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.