a highly motivated and talented candidate with a strong background in data and materials science for a challenging PostDoc position to promote and facilitate the adoption of open research data (ORD) practices that comply with the FAIR data principles in the field of materials science.
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.