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Postdoctoral Fellow – Machine Learning in Laser Wakefield Acceleration (IV-93)

ELI Beamlines has a vacancy for a Postdoctoral Fellow – Machine Learning in Laser Wakefield Acceleration (IV-93)

  • Closing date: 07 Aug 2021
  • Czech Republic | ELI Beamlines
  • Date posted: 07 Jun 2021
  • Job type: Research facilities
  • Disciplines: Computational science & software engineering  | Mathematics & statistics 

The ELI Beamlines Centre is part of the Extreme Light Infrastructure (ELI) project, a new research infrastructure of international significance. The lasers at ELI Beamlines aim to deliver unprecedented ultrashort, ultra-intense laser pulses for diverse interdisciplinary applications in physics, medicine, biology and materials science. Currently several of the main laser beamlines are operational and are being expanded and upgraded to reach their full performance and maximum availability. Other laser beamlines are in commissioning and new cutting-edge laser sources are in the design and development phase. ELI Beamlines is a 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 human resources strategy and ensuring professional and ethical working conditions. 

The Electron Acceleration group, part of the Department of Radiation Physics and Electron Acceleration led by Prof. S. V. Bulanov, is expanding and recruiting physicists in relevant fields for implementation and further development of the ELBA beamline. In our team we therefore have the following position available: Postdoctoral Fellow – Machine Learning in Laser Wakefield Acceleration (IV-93).

The candidate is supposed to work predominantly on the following topics

  • Application and development of Machine Learning algorithms for post-processing of the experimental data to gain more insight into laser plasma acceleration.
  • Implementation of online analysis architecture in cooperation with the ELI-Beamlines control system and laser teams.
  • Optimization of the laser and plasma parameters and development of automated feedback loops for the high repetition rate PW laser electron accelerator beamline (ELBA).

Requirements

  • PhD in Mathematics, Computer Science, Physics or similar background.
  • Experience with data analysis and visualization.
  • Good knowledge of spoken and written English is necessary.
  • Team player with good communication skills.

Desired additional qualifications

  • Knowledge of Python, knowledge of LabVIEW is a plus.
  • Experience with optimization algorithms (Genetic Algorithm, Bayesian optimization etc.).
  • Experience with typical hardware found in a scientific or automated measurement environment (instrumentation, vision/motion systems).

Job conditions

  • The opportunity to participate in this unique scientific project.
  • Career growth, professional education.
  • Competitive and motivating salary.
  • 5 weeks of holiday and other employee benefits.

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 (jana.zeniskova@eli-beams.eu, +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.

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