Scientific Data Analysis Specialist

Updated: 9 months ago
Deadline: 11 Oct 2019

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.

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.

Job description:

You main mission will be to prototype, develop, and implement interactive web-based solutions for analysis of various scientific datasets obtained from experiments at ELI facilities. You will collaborate with partners in the PaNOSC project on development and integration of these open-source tools and services into the EOSC.

Required skills:
  • university degree in Computer Science, Engineering, Science, or related field
  • good knowledge of programming in Python, C++, C
  • experience with data analysis tools and techniques
  • experience with processing of scientific data
  • good knowledge of Linux/Unix programming environment
  • proficiency in English

Desired skills:
  • experience with JupyterLab / Notebook
  • experience with Python libraries and tools for scientific computing: numpy, scipy, matplotlib, pandas, ploty, h5py
  • experience with machine learning (AI) solutions for big data processing and analysis
  • knowledge of remote data access and analysis workflows
  • experience with data visualization tools
  • knowledge of programming in C++, C
  • knowledge of web technologies: WebGL, javascript
  • experience with GPU technologies: CUDA, OpenGL, OpenCL, Vulkan
  • experience in European projects and international collaborations

We offer:

  • 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 (+420 - 601560322).

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