FAIR-DI e.V.
FAIRmat
NOMAD Laboratory
NOMAD CoE

Open Positions at FAIRmat and the NOMAD Data Center at HU Berlin

Would you like to shape what the future of materials science will look like? Become part of the NOMAD team as data or condensed-matter scientist or master / PhD student!

Join our team!

FAIRmat and the brand-new NOMAD HUB - NOMAD Data Center at Humboldt-Universität zu Berlin are seeking several highly qualified and motivated colleagues to join the dynamic NOMAD team towards shaping the future of materials science! We are currently looking for several highly qualified and motivated colleagues at all levels, specifically:

Expert in Electronic Ground-State Calculations

Assignment:

  • Work in the cross-functional development team of the NOMAD HUB (NOMAD Data Center at HU Berlin)
  • Contribute to software development and data management for ground-state calculations (mainly DFT)
  • Be responsible for development tasks independently as well as in a team
  • Expect travel to meetings and longer stays at partner institutions
  • Represent the project at (inter)national workshops and conferences

Requirements:

  • Completed academic degree (master or similar) in physics, materials science, or another relevant field
  • Deep experience with ground-state calculations and workflows for high-throughput calculations
  • Experience with python programming and data modeling
  • Experience with artificial-intelligence modelling
  • Experience with data visualization and scientific workflows
  • Experience with Linux, git, CI/CD is an advantage
  • Excellent written and verbal communication skills in English
  • Being a team player
Expert in Excited-state Calculations

Assignment:

  • Work in the cross-functional development team of the NOMAD HUB (NOMAD Data Center at HU Berlin)
  • Contribute to software development and data management for excited-state calculations (GW, BSE, TDDFT, DMFT, etc.)
  • Be responsible for development tasks independently as well as in a team
  • Expect travel to meetings and longer stays at partner institutions
  • Represent the project at (inter)national workshops and conferences

Requirements:

  • Completed academic degree (master or similar) in physics, materials science, or another relevant field
  • Deep experience with excited-state calculations with at least one of the techniques: GW, BSE, TDDFT, DMFT
  • Experience with python programming and data modeling
  • Experience with artificial-intelligence modelling
  • Experience with data visualization and scientific workflows
  • Experience with Linux, git, CI/CD is an advantage
  • Excellent written and verbal communication skills in English
  • Being a team player 
Software Engineers Full-Stack

Assignment:

  • You help to develop NOMAD, a web-based application for managing, visualising, and sharing scientific data and the largest materials science database in the world
  • You join the NOMAD interdisciplinary development team at Humboldt University (NOMAD Data Center at HU Berlin)
  • You work with modern web frameworks and technologies (REACT, material-ui, FastAPI, RabbitMQ, Elasticsearch, Mongodb, and parallel file systems)
  • You implement features across the whole (or parts) of our stack: frontend, backend, and/or devops
  • You work in an agile environment supported by CI/CD and TDD
  • You help less experiences software engineers to grow their skills, review code, spread your knowledge, and learn from others
  • Possibility for traveling to meetings and code-camps

Requirements:

  • Completed academic degree (master or similar) in computer science, physics, materials science, or another relevant field
  • Experience with web-application development
  • Good understanding of the whole stack and expert knowledge in multiple of these technologies:
    • Javascript, HTML, CSS, React, and material-ui
    • REST API development with python, data modelling and databases (ideally with MongoDB and Elasticsearch), task-queues (e.g. Celery, RabbitMQ)
    • OAuth, SAML (e.g. with Keycloak)
    • Linux, Docker, Kubernetes, GitLab-ci
  • Experience in using Git as a team with complex branching strategies (e.g. GitFlow)
  • Excellent written and verbal communication skills in English
  • Being a team player 
Scientific Project Manager

Assignment:

  • Lead multiple interdisciplinary teams
  • Assistance in all areas of the project, including software developments for synthesis, theory and experimental data management, as well as digital infrastructure
  • Responsible for setting up and delivering internal milestones, providing regular progress reports
  • Represent the project in national and international conferences, workshops and scientific publications
  • Frequently travel and coordinate activities with partner institutes
  • Contribute to third-party funding acquisition

Requirements:

  • PhD degree in physics, materials or computer science, or another relevant field
  • Proven experience in collaborative multi-disciplinary, and multi-institute projects
  • Knowledge in data modeling, migration, and object-oriented programming
  • Knowledge in data infrastructures and virtualization technologies
  • Interests in modern big-data solutions including machine learning
  • Experience with research-data activities following FAIR principles
  • Experience in agile and/or matrix project management
  • Outstanding leadership skills
  • Excellent written and verbal communication skills in English
  • Being a team player

 

 

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. 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.

Who we are

FAIRmat stands for FAIR Data Infrastructure for Condensed-Matter Physics and the Chemical Physics of Solids. 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. The NOMAD HUB - NOMAD Data Center at Humboldt-Universität zu Berlin is the FAIRmat headquaters. NOMAD Novel Materials Discovery Laboratory is the biggest data store in computational materials science, worldwide. We are currently 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.

Application process

Excited by the prospect of joining us? Send us your application (single pdf containing your motivation letter, cv, certificates, and 3 references) via our contact form or by e-mail to Victoria Coors (victoria.coors@physik.hu-berlin.de).

Extensions: pdf

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