PostDoc position in data science for open and reproducible materials research in Dübendorf

This project will use data from simulations and experiments to design, develop, stress test, and benchmark ORD practices that support and enable combined experimental and computational research in materials science. Our developments will enable general interoperability between experimental Electronic Lab Notebooks (ELN), Laboratory Information Management Systems (LIMS), and Workflow Management System software for managing reusable simulation workflows (WFMS). We will use openBIS as ELN-LIMS and AiiDA as WFMS. Through practical examples, we will show how their implementation can enable novel approaches to conducting research, understanding the results, and ultimately accelerating the discovery and characterization of materials.

The successful candidate will work with experimental and theoretical scientists from Empa, PSI, ETHZ, and the NCCR MARVEL to define data types, metadata and practices for open research data that will allow successful integration between the AiiDA and openBIS platforms. The candidate will also work with AiiDA and openBIS developers to help code missing interoperability functionalities on the AiiDA side.

Join our world-class team to explore data science for materials research in a global network of collaborators where you can build a competitive research portfolio. Located in the Zurich Area, the Swiss Federal Laboratories for Materials Science and Technologies (Empa) offers outstanding infrastructure, a broad interdisciplinary environment and competitive salaries. Empa is proud to be an equal opportunity employer, committed to creating an inclusive environment for all employees. The position is available upon agreement, with a planned duration of two years.