ML Engineer - Generative Design applied to Mechanical Engineering

Overview

The Swiss Data Science Center (SDSC) is a National Research Infrastructure jointly founded by EPFL and ETH Zurich and part of the ETH Domain. Its mandate is to support academic labs, hospitals, the industry and public sector stakeholders, including cantonal and federal administrations, through their data science journey, from the collection and management of data to machine learning, AI, and industrialization.

With a large multidisciplinary team across three locations (Lausanne, Zurich, Villigen), the SDSC provides expertise and services to domains such as health and biomedical sciences, energy and sustainability, climate and environment, and large-scale scientific infrastructures. In the Research team, we seek to accelerate the adoption of data science and machine learning methods within these disciplines.

At the Swiss Data Science Center we work extensively in the application of machine learning to the fields of architecture and engineering. We have developed an open-source python library called AIXD for ML-assisted forward and inverse design. In the framework of an Innosuisse project with Accelleron Industries, we are currently exploring the application of these methodologies to more specialized industrial problems, as a way to accelerate the early design of high-end components.

Specifically, we are investigating the application of inverse design methods to mechanical engineering, for the ML-based discovery of novel turbo machinery components. This involves implementing tailored ML models that exploit the unique characteristics of the problems at hand, as well as novel exploration and visualization tools that further facilitate the understanding of the results achieved.

• Implement ML methods tailored to the design of turbo machinery components.
• Develop new visualization and exploration approaches that help understand the data and the results.
• Build interfaces between Accelleron configuration files and the AIXD toolbox.
• Support and conduct the software development of the toolbox by implementing new features, maintaining the code, creating tutorials, and documentation.

• You are a developer with a BSc or MSc in Computer Science or related fields.
• You have proven expertise in software development, especially with Python, and a solid understanding of industry-standard tools and best practices for software development (version control, code review systems, automated testing, etc.).
• You have experience in machine learning, deep learning and data science, including data preparation workflows (data cleaning, feature engineering, exploratory data analysis).
• You have experience using Python libraries such as PyTorch, Scikit-Learn, etc., and know how to present complex results as appealing and informative plots.

• A 12-month ML Engineer position at 80%, at our SDSC Zürich office, located in Oerlikon.
• A stimulating, collaborative, cross-disciplinary environment in a world-class research institution, where you will be part of a team of 40 data scientists from more than 15 countries.
• We value work-life balance and actively promote learning of new technologies and approaches on the job.

In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all staff and students are respected. Sustainability is a core value for us, and we are consistently working towards a climate-neutral future.