Post-doctoral Position in Machine Learning for Engineering Design
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ETH Zurich
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Zurich, Switzerland, Europe

As a postdoctoral researcher, your responsibilities may include: Development or analysis of novel Machine Learning algorithms for engineering design applications, such as Inverse Design, Surrogate Modeling, or generative modeling. 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. Helping to set up the specialized digital or physical scientific infrastructure needed to support planned experiments as relevant to your research focus. Participating actively in dissemination efforts such as publishing scientific papers, attending or presenting at conferences or workshops, or other scholarly outreach activities. Designing and writing portions of scientific research proposals to support laboratory efforts. Supervising Ph.D., Masters, and/or Bachelors students. Limited assistance in teaching efforts for relevant coursework in the laboratory’s general area.

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