Research Engineer / Research Engineeress in Computer Graphics & Physically-Based Simulation

Research Engineer in Computer Graphics & Physically-Based Simulation

80%-100%, Zurich, fixed-term

We are looking for a talented Research Engineer with strong expertise in Computer Graphics, physically-based simulation, and high-performance implementation. In this role, you will design, prototype, and optimize advanced simulation algorithms, particularly in the domain of cloth and deformable materials, and contribute to our next generation of rendering and learning-based graphics technologies. You will have the opportunity to collaborate closely with other research scientists and engineers to transform cutting-edge research into robust, production-quality systems.

Project Background

This position is part of an Innosuisse project where ETH is the research partner alongside implementation partner Vestir AI. 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 will involve implementing physically-based garment simulation techniques and developing efficient rendering algorithms.

Job Description

• Develop and optimize physically-based simulation algorithms, focusing on cloth, soft bodies, or deformable materials.
• Implement high-performance C++ and Python modules for simulation, rendering, and data processing.
• Explore and integrate deep learning techniques into graphics and simulation pipelines (e.g., PyTorch, JAX, TensorFlow).
• Build tools for debugging, visualization, and validation of simulation results.
• Contribute to research and prototyping in real-time graphics, differentiable simulation, or novel rendering techniques, such as Gaussian Splatting.
• Collaborate with team members to transition research prototypes into production-ready features.
• Stay current with the latest academic and industry advancements in physics simulation, rendering, and neural graphics.

Profile

• Bachelor's, Master's, or PhD in Computer Science, Computer Graphics, or a related field.
• Strong proficiency in C++ and Python, with a proven track record of building performant, maintainable software.
• Hands-on experience with physically-based simulation, particularly in cloth, deformable solids, or mass-spring/finite-element methods.
• Strong understanding of computer graphics fundamentals, numerical methods, and GPU/parallel computing concepts.
• Experience with at least one major deep learning framework (PyTorch preferred).
• Excellent problem-solving skills and the capability to independently drive projects from concept to completion.

Bonus Qualifications

• Experience with Gaussian Splatting.
• Familiarity with CUDA, compute shaders, or other GPU programming environments.
• Experience with differentiable simulation or inverse problems in graphics.
• Publications in top-tier graphics or ML venues (SIGGRAPH, CVPR, ICCV, NeurIPS, etc.) are a plus but not required.

Workplace

Join us in an inspiring academic environment at one of the world's leading technical universities, where you will have the opportunity to transform research into products that disrupt the fashion industry on a global scale. Be a 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

Aligned with our values, ETH Zurich fosters an inclusive culture, promoting equality of opportunity and valuing diversity. We strive to maintain a working and learning environment where the rights and dignity of all staff and students are respected. Sustainability is a fundamental principle for us, and we are committed to working towards a climate-neutral future.

Curious? So Are We.

If you're interested in this opportunity, apply online using the form below. Please note that only applications matching the job profile will be considered.

About ETH Zürich

ETH Zurich is a globally renowned university specializing in science and technology. We take pride in our excellent education, cutting-edge fundamental research, and our ability to directly transfer new knowledge into society. With over 30,000 individuals from more than 120 countries, our university promotes independent thinking and inspires excellence. Located in the heart of Europe, we work together to develop solutions for the global challenges of today and tomorrow.