FAIRmat is a consortium of the National Research Data Infrastructure NFDI (www.dfg.de/nfdi/en), 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 (https://www.fair-di.eu/fairmat) towards shaping the future of materials science:
WHAT WE ARE LOOKING FOR
Scientific leadership for coordinating multiple groups in an interdisciplinary team, also representing the project to the outside
Required experience in leading scientific or software development projects and teams and strong IT background
Required IT skills include HTML, CSS, Node.js, REACT, Material-UI, Python Flask, Fastapi, MongoDB, Elasticsearch, RabbitMQ, Celery, Docker, Kubernetes, Git, CI/CD
With a strong focus on research data and tools; IT and programming skills are a must; PhD possible
Excellent German and English skills, well organized and flexible, high social competence
WHAT WE OFFER
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 (https://nomadlab.eu/). 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.
HOW TO APPLY
Apply by sending a single pdf containing your motivation letter, cv, certificates, and references to Victoria Coors (firstname.lastname@example.org).
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.
Multiple positions in the interdisciplinary FAIRmat Data Infrastructure Team
Schicke ganz einfach Deine Bewerbung über JOBSinBerlin.de ab und wir informieren Dich per Email, sobald der Arbeitgeber die Bewerbung heruntergeladen hat.
Humboldt-Universität zu Berlin