Post-doctoral Position in Machine Learning for Engineering Design

Doctorat / PhD Conditions : 100%, Zurich, fixed-term

The Laboratory for Intelligence in Design Engineering and Learning (IDEAL) in the Department of Mechanical and Process Engineering invites applications for a Post-doctoral position in the area of Machine Learning for Engineering Design under the guidance of Prof. Mark Fuge, the Chair of Artificial Intelligence in Engineering Design. The general area of the laboratory covers the study of Artificial Intelligence and Machine Learning in the context of Engineering Design problems in domains such as healthcare, power generation, aerospace, and robotics. The successful candidate will join a growing research team and have a unique professional development opportunity to help shape and guide initial investments in laboratory infrastructure.

This postdoctoral position would build upon the laboratory's past and ongoing work within the context of AI-Guided Design, Inverse Design, and Optimization across different application domains. In particular, we are developing scientific research infrastructure to better study the integration of physical experiments with digital/AI-driven models, as well as formal verification of software systems. This builds upon our existing work in automated robotic assembly , automated design for assembly , and benchmarking within this domain, such as through our EngiBench and EngiOpt libraries. We would also be interested in developing new work in formal verification of mechanical systems, such as through Autoformalization and techniques from Program Analysis or Synthesis. This position would involve helping set the vision and scientific direction for future efforts in this broad area, and collaborating with Ph.D. students, other Post-Docs, and Scientific Staff (such as software developers from ETH's Scientific IT Services group) to produce world-class and high-scientific-value research publications and infrastructure. As such, it offers unique and advanced professional development opportunities in both leadership and laboratory operations that will position the candidate well for future success as an independent scientist. You can read more about our work at our laboratory's current website .

As a postdoctoral researcher, your responsibilities may include: Development or analysis of novel algorithms for engineering design applications, such as Inverse Design, Generative Modeling, Robotics, or Program Analysis/Synthesis Collaborating with partners from industry, academia, and national labs to translate real-world needs into scientific or technical questions Working independently or with other scientific staff to deploy our simulation or algorithm pipelines on advanced computational infrastructure, such as High-Performance Computing systems As many of the lab members actively contribute together to various projects, this role will involve some project management and coordinating the development efforts of others Helping to set up the specialized digital or physical…