The FAIRmat Consortium is building an International, FAIR Data Infrastructure for Condensed-Matter Physics and the Chemical Physics of Solids: https://www.fair-di.eu/fairmat/

The enormous amounts of research data produced every day in the fields of Condensed-Matter Physics, Materials Science, and the Chemical Physics of Solids represent a gold mine of the 21st century. This gold mine is, however, of little value, if these data are not comprehensively characterized and made available. How can we refine this feedstock, i.e., turn data into knowledge and value? For this, a FAIR (Findable, Accessible, Interoperable, and Re-usable) data infrastructure is a must. Only then, data can be readily shared and explored by data analytics and artificial-intelligence (AI) methods. Making data Findable and AI Ready (a forward-looking interpretation of the acronym) will change the way how science is done today. The consortium FAIRmat sets out to make this happen.

FAIRmat is part of the international association FAIR-DI (https://www.fair-di.eu/). It starts from NOMAD (https://nomad-lab.eu/) but will significantly extend and advance these services by addressing materials synthesis, experiments, and theory and computations for the mentioned research areas.

We are looking for materials scientists for 

These are 5-year positions at a salary scale of up to TV-L E14. The positions are initially for 5 years, but a prolongation may be possible.

Furthermore we are looking for the scientific coordinator of the whole project. This would be 5-year positions at a salary scale of up to TV-L E15.

If you are interested, please apply at https://nomad-lab.eu/career/nomad-hub asap.