Postdoc: ML for Engineering Design & Inverse Design

ETH Zürich; Zürich; Hybrid; CHF 110,000 - 130,000; Full time

Benefits offered by this job

World-class research infrastructure

Flexible start date

Home office possible in Switzerland

Excellent working conditions

Job summary

The Laboratory for Intelligence in Design Engineering and Learning (IDEAL) at ETH Zurich seeks a post-doctoral researcher in Machine Learning for Engineering Design. The role involves developing AI-driven design methods, collaborating with industry and national labs, and deploying pipelines on HPC resources.

You will supervise students and contribute to publications, infrastructure, and proposal writing. The position offers a two-year fixed-term term with potential extensions, flexible start,

Qualifications

• Ph.D. degree in Mechanical Engineering, Computer Science, Applied Mathematics, Robotics, or related field with an excellent publication record.
• Strong English language skills and ability to work in multinational teams.
• Experience with ML or HPC tooling and packaging simulation or ML codes for deployment.

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 pipelines on High-Performance Computing systems and manage development efforts of others.
• Supervise Ph.D., Masters, and/or Bachelors students and contribute to teaching as needed.
• Publish research results and contribute to lab-wide infrastructure and proposals.

Skills

Machine Learning

Robotics

Computational Simulations

High-Performance Computing

Software Engineering/Analysis

English language skills

Education

Ph.D. degree in Mechanical Engineering, Computer Science, Applied Mathematics, Robotics, or related fields

Tools

PyTorch

JAX

Docker

Singularity

HPC

Job description

The Laboratory for Intelligence in Design Engineering and Learning (IDEAL) at ETH Zurich seeks a post-doctoral researcher in Machine Learning for Engineering Design. The role involves developing AI-driven design methods, collaborating with industry and national labs, and deploying pipelines on HPC resources.

You will supervise students and contribute to publications, infrastructure, and proposal writing. The position offers a two-year fixed-term term with potential extensions, flexible start,