Multiple positions in the interdisciplinary FAIRmat Data Infrastructure Team in Berlin

FAIRmat is a consortium of the National Research Data Infrastructure NFDI (, which is building a FAIR data infrastructure for materials science and related research areas. FAIRmat is seeking several highly qualified and motivated colleagues to join the project ( towards shaping the future of materials science: 


  • Scientific Project Manager – Reference DR/091/21

Scientific leadership for coordinating multiple groups in an interdisciplinary team, also representing the project to the outside

  • Team Leaders – Reference DR/090/21

Required experience in leading scientific or software development projects and teams and strong IT background

  • Scientific Software Developers – Reference DR/089/21

Required IT skills include HTML, CSS, Node.js, REACT, Material-UI, Python Flask, Fastapi, MongoDB, Elasticsearch, RabbitMQ, Celery, Docker, Kubernetes, Git, CI/CD

  • Materials Scientists – Reference DR/088/21

With a strong focus on research data and tools; IT and programming skills are a must; PhD possible

  • Project Assistant – Reference DR/092/21

Excellent German and English skills, well organized and flexible, high social competence

A stimulating, multidisciplinary working environment, a pay scale classification (TV-L) up to wage group E 15, ample development opportunities, and flexible working hours. The majority of the team will be based at Humboldt-Universität zu Berlin, but may spend time in partner groups all over Germany. The positions are for 5 years with a perspective towards prolongation.

You will work at the FAIRmat headquarters, the brand-new NOMAD Data Center at HU Berlin ( The NOMAD - Novel Materials Discovery Laboratory is the biggest data store in computational materials science, worldwide. FAIRmat is advancing its data infrastructure towards materials synthesis, experimental physics, theory, and data processing workflows. The new digital infrastructure and cloud services, based on leading edge IT technologies supports Open Data and Open Science towards data-centric materials science involving Artificial Intelligence.

Apply by sending a single pdf containing your motivation letter, cv, certificates, and references to Victoria Coors (

Humboldt-Universität zu Berlin is seeking to increase the proportion of women, and specifically encourages qualified female to apply. Severely disabled applicants with equivalent qualifications will be given preferential consideration. People with an immigration background are specifically encouraged to apply.

Jetzt bewerben

Multiple positions in the interdisciplinary FAIRmat Data Infrastructure Team

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Humboldt-Universität zu Berlin

Humboldt-Universität zu Berlin

Mehr zum Job

Anzeigenart Stellenangebot
Arbeitszeit Vollzeit
Vertragsart Festanstellung
Berufliche Praxis mit Berufserfahrung
Aus- und Weiterbildung Sonstiges
Berufskategorie Produktion, Forschung und Entwicklung / Forschung und Entwicklung
Arbeitsort Zum Grossen Windkanal 2, 12489 Berlin


Humboldt-Universität zu Berlin

Kontakt für Bewerbung

Herr Sandor Brockhauser