Current, open positions in NOMAD are listed below.
In addition, qualified candidates who are interested in joining the NOMAD project in general, can send their application materials to Jessica Pietsch or contact the PI (see TEAM) of the group they would like to join.
Unlocking the Fourth Paradigm of Materials Research: Several positions are available in Big-Data-driven Computational Materials Science
for Master Students, PhD Students, and Postdocs in Berlin at FAIR-DI e.V. and the NOMAD CoE
The FAIR-DI association e.V. (FAIR Data Infrastructure, https://fairdi.eu) and its and its computational materials science pillar NOMAD (Novel Materials Discovery Center of Excellence, https://nomad-coe.eu) recently secured funding for 5 positions for advancing its Big-Data infrastructure with focus on metadata, ontologies, semantics as well as for developing quality-standard and maturity models. Besides the mentioned web sites, information about the FAIR-DI/NOMAD activities can be found in two recent publications:
The NOMAD Laboratory: From Data Sharing to Artificial Intelligence, https://iopscience.iop.org/article/10.1088/2515-7639/ab13bb
Big-Data-Driven Materials Science and its FAIR Data Infrastructure, https://arxiv.org/ftp/arxiv/papers/1904/1904.05859.pdf.
Interested scientists should have high-level knowledge in condensed-matter physics, materials science, data science, or software engineering. We need people who develop concepts, algorithms, and computer programs. We don‘t need people who just run codes. The work is deeply embedded into international activities, in particular in Europe, USA, and China.
The postdoc contracts are initially for 1 or 2 years but a prolongation is possible.
If you are interested in such novel and urgent projects, please send your application material, including a motivation letter, CV, and contact details of at least two references as one pdf-file to email@example.com.
The FAIR-DI e.V. is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals.
Furthermore, FAIR-DI seeks to increase the number of women in those areas where they are underrepresented and therefore explicitly encourages women to apply.
We handle applications electronically, observing the German data privacy laws. By sending the application, the applicant declares his or her consent.