We live in a world, where computers can automatically recognize people on camera in real time. Artificial intelligence can drive cars or predict complex statistical problems. But to co-align hundreds of crystals, you need several students working for several months. We will fully automatize the co-alignment process by using a state-of-the-art X-Ray Laue diffractometer, robotized manipulators, real-time camera recognition and AI for software analysis. The device (ALSA – Automatic Laue Sample Aligner) will be a true game changer in the field of inelastic neutron scattering, because it will drastically speed-up sample preparation.

The aim of the proposed programmer position is to develop an instrument control software for the ALSA device. ALSA should be able to read and analyse images from several industrial cameras to identify initial crystal positions, grab the crystals using a robotic arm (Mecademic Meca500) and put them in the X-Ray beam. Afterwards, the scattering image from Laue machine will be evaluated and the crystallographic orientation of the sample will be determined. The last step will be to glue the crystal to an aluminium plate – again using the robotic arm.

It is possible to perform this software development as part of a thesis or software project.

What Awaits you here?

  • You will work in a small team of young researchers, surrounded by the high tech equipment of the MGML research infrastructure.
  • You will code the world’s smallest and most precise six-axis industrial robot arm.
  • Your software will be used for excellent condensed matter research.

What we expcet? (not all is necessary)

  • Advanced knowledge of Python.
  • Experience with computer vision (OpenCV).
  • Interest in low-level PLC programming.
  • Understanding of docker, git, code review.
  • Ability to work in a team as well as independently.
  • Be accountable for the quality of your work.

What we offer to you

  • 2 years part-time position with flexible working hours and possibility to combine with study (starting as soon as possible).
  • Possibility to use your work as a thesis or software project at MFF UK.
  • Prospect of continuation of the project as a start-up company.

Position Info

Computer vision enthusiast with overlap to robotics.

  • Start: as soon as possible
  • Duration: 2 years
  • Salary: depends on your skills
  • Level: junior

How to apply

Send your application with short cover letter, CV and a brief description of your previous professional activities to cermak@mag.mff.cuni.cz.

You can also reach me via phone, contact form or text me on Discord, nick petrscience#1543.