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 entire data science journey, from the collection and management of data to machine learning, AI, and industrialization.

With a large multidisciplinary team of professionals across three locations (Lausanne, Zurich, Villigen), the SDSC provides expertise and services to various domains, such as health and biomedical sciences, energy and sustainability, climate and environment, and large-scale scientific infrastructures. In particular, in the Research team, we seek to accelerate the adoption of data science and machine learning methods within these diverse 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 ( https://aixd.ethz.ch/docs/stable/ ) 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 turbomachinery 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.

To support the development of these methods, we are offering a one-year ML engineer position. The successful candidate will work hand-in-hand with the Senior scientists involved in the project, to help implement and evaluate new methods tailored for the design of turbomachinery components. This will also require tightly collaborating with the design engineers at Accelleron, in order to successfully implement models and approaches tailored to and are performant in this complex domain field. Furthermore, the successful candidate will have to propose and implement additional tools that allow end-users an efficient and intuitive utilization of the developed methods and models.

• A 12-month ML Engineer position at 80%, at our SDSC Zürich office, conveniently 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 different countries. We all work towards applying and developing novel ML methods to solve real-world problems.
• We value work-life balance. 
• We encourage experimentation and creativity by actively promoting the learning of new technologies and approaches on the job.

Interested in creating tools that will promote and universalize the usage of modern ML methodologies? Come and join our team!

We look forward to receiving your online application with the following documents:

• CV
• Motivation letter

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered. 

Questions regarding the position should be directed to hr@datascience.ch (no applications).

Further information about SDSC can be found on our website, examples of projects carried out by the Research team can be found here. 

We would like to point out that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence.  After receiving your application, we will do a pre-screening. If successful, one of us will contact to you about the following steps and the selection process.

For recruitment services the GTC of ETH Zurichapply.