Postdoc: ML for AI-Guided Engineering Design

ETH Zürich; Zürich; Hybrid; CHF 90,000 - 120,000; Full time

Job summary

ETH Zurich’s IDEAL Laboratory invites applications for a post-doctoral position in Machine Learning for Engineering Design. The role focuses on AI-guided design, inverse design, and optimization across domains such as healthcare, power, aerospace, and robotics.

Applicants will collaborate with PhD students and scientific staff, contribute to research publications, and participate in lab operations, leadership, and infrastructure development.

Qualifications

• PhD in relevant field with strong publication record in archival journals or conferences.
• Strong background in ML for engineering design or AI-driven design.
• Experience with HPC environments and deploying simulation/ML codes.

Responsibilities

• Develop or analyze novel algorithms for engineering design (Inverse Design, Generative Modeling, Robotics, or Program Analysis/Synthesis).
• Collaborate with industry, academia, and national labs to translate real-world needs into research questions.
• Deploy simulation or algorithm pipelines on HPC infrastructure and manage development efforts.

Skills

Machine Learning

Robotics

Computational Simulations

HPC

Software Engineering/Analysis

Education

PhD in Mechanical Engineering, Computer Science, Applied Mathematics, Robotics

Tools

PyTorch

JAX

Docker

Singularity

HPC Clusters

Job description

ETH Zurich’s IDEAL Laboratory invites applications for a post-doctoral position in Machine Learning for Engineering Design. The role focuses on AI-guided design, inverse design, and optimization across domains such as healthcare, power, aerospace, and robotics.

Applicants will collaborate with PhD students and scientific staff, contribute to research publications, and participate in lab operations, leadership, and infrastructure development.