Pillar 2 - Exascale Workflows

Bringing workflows to exscale

Jul 9, 2020

Open positions in the NOMAD Laboratory of the association FAIR Data Infrastructure for Physics, Chemistry, Materials Science, and Astronomy

About FAIR-DI e.V.

Scientific data are a significant raw material of the 21st century. To exploit its value, a proper infrastructure that makes it Findable, Accessible, Interoperable, and Re-purposable – FAIR – is a must. And this is where the association FAIR-DI e.V. sets in: FAIR-DI will build a worldwide data infrastructure for big data from material science, engineering, and astronomy that follows the FAIR principles. Find out more about our mission and objectives on www.fair-di.eu.

What we offer

The NOMAD (Novel Materials Discovery) pillar of FAIR-DI e.V offers several open positions in the following, highly important, and urgent topic or field:

  • Developer for a web-based platform for materials science data sharing and analysis

You will be working on a REST and NoSQL based backend and distributed cloud-based processing infrastructure written in Python; a component-based (react) frontend; or Jupyter based analysis framework; and/or a Graphical User Interface.

What we are looking for

Specifically, we are looking for truly outstanding master students, Ph.D. students (“fast track” is possible), and postdocs. The latter are 2-year positions with the possibility of extension. If you belong to this group and are interested in one of the noted topics, please send your application to contact@fairdi.eu.

Your Qualifications

Essential Skills: 

  • Excellent programming skills
  • In-depth knowledge of Python

Ideally in-depth understanding of and experience in some of the following:

  • Machine learning concepts
  • NoSQL databases
  • REST APIs, flask
  • frontend/graphical user interface (GUI): JavaScript, React, HTML/CSS
  • Data visualization
  • GIT, scripts, Linux, Docker, k8s
  • GUI

Our Location

Your workplace will be at the Department of Physics, FAIR-DI group of the Humboldt-Universität zu Berlin, one of the best universities in Germany.

How to apply

Your application must include in one pdf file:

  • A cover letter describing your motivation for applying (max. 1 page)
  • A CV with a complete description of your academic career and relevant skills (including a description of your programming experience)
  • Contact details of two potential referees
  • Your degree certificate(s)
  • For applicants for a Ph.D. position: transcripts of courses taken and grades obtained

Please send your application to contact@fairdi.eu.

We look forward to receiving your applications!