Internship/Master thesis project - Siegert Group

Your profile: 

The successful candidate holds a Bachelor’s or Master’s degree in computer science (or closely related discipline like physics, mathematics or engineering) and shows creativity, initiative and enthusiasm to work in a highly-dynamic, multidisciplinary environment, and has problem-solving skills. Prior experience with statistical methods applied to neuroscience, especially in vivo electrophysiological data recording, is an advantage but not required.

  • Strong working knowledge in scripting language (e.g. Python, Matlab)
  • Experience with modern version control tools (Git is preferred)
  • Proficiency in a compiled language (e.g. C++) is a plus
  • Effective communication and organizational skills
  • Demonstrable knowledge in neuronal signal processing and network dynamics is an advantage

 

Kontakt:
E sandra.siegert(at)ist.ac.at

Details zur Stellenausschreibung Internship/Master thesis project - Siegert Group 1