ELI Beamlines research centre in Dolní Břežany is part of pan-European infrastructure ELI (Extreme Light Infrastructure) representing a unique tool of support of scientific excellence in Europe by making available its capacities to the best scientific teams across the world. The aim of ELI Beamlines is to establish the most intensive laser system in the world and to operate it on a long-term basis. Due to ultra-high performances of 10 PW (1 petawatt =
1,000,000,000,000,000 watts) and concentrated intensities of up to 1024 W/cm2, we can offer our users a unique source of radiation and beams of accelerated particles. The so called beamlines will enable groundbraking research in the area of physics and science dealing with materials, but also in biomedicine and laboratory astrophysics and many other fields. ELI Beamlines is part of the Institute of Physics of the Czech Academy of Sciences, and it was open in 2015.
ELI is involved in a European project Photon and Neutron Open Science Cloud – PaNOSC which aims at developing and providing services for scientific data and integrating them to the European Open Science Cloud (EOSC).
The Institute of Physics of the Czech Academy of Sciences is a holder of the HR Excellence in Research Award. It is awarded by the European Commission to institutions which put significant effort into improving their HR strategy and ensuring professional and ethical working conditions.
Your main mission will be to prototype and develop web-based tools and infrastructure for access and analysis of datasets obtained from experiments at ELI facilities. You will collaborate with partners in the PaNOSC project on development of these tools based on Jupyter technologies and their integration into the EOSC.
- university degree in Computer Science, Engineering, Science, or related field
- experience with data analysis tools and techniques
- knowledge of Jupyter technologies
- good knowledge of Linux/Unix programming environment
- proficiency in English
- experience with frontend and backend web frameworks
- experience with JupyterLab / Notebook
- experience with Python libraries and tools for scientific computing: numpy, scipy, matplotlib, pandas, plotly, h5py
- experience with machine learning solutions for big data processing and analysis
- knowledge of remote data access and analysis workflows
- experience with data visualization tools
- experience with VMs, Docker, Kubernetes
- experience in European projects and international collaborations
- the opportunity to participate in this unique scientific project
- competitive and motivating salary
- flexible working hours
- nice working environment
- career growth
- lunch vouchers, pension contribution and 5 sick days
- support of leisure time activities
Applications, containing CV, cover letter, contacts of references, and any other material the candidate considers relevant, should be sent to Mrs. Jana Ženíšková, HR specialist (email@example.com
, +420 - 601560322).
Information regarding the personal data processing and access to the personal data at the Institute of Physics of the Czech Academy of Sciences can be found on: https://www.fzu.cz/en/processing-of-personal-data