About this role
Werkstudent (all genders) - Interpretierbare Machine-Learning-Methoden für EEG-basierte Klassifizierung at XITASO GmbH. Location: Augsburg or Krumbach or Berlin or Ingolstadt or Erlangen or Leipzig or Münster or Munich or Karlsruhe. Role: developing models, running experiments, analyzing results Requirements: Enrolled student in CS/Data Science/Mathematics/Medical Informatics, experience with Python and PyTorch, basic ML knowledge, English C1, optional knowledge of PyTorch Lightning, Hydra, MNE, SLURM; willing to work with EEG data and SLURM GPU clusters. Category: Research and Development (R&D) Seniority: No Prior Experience Required Tools: Python, PyTorch, PyTorch Lightning, Hydra, MNE, SLURM, Self-Explaining Selective Model (SESM) Commitment: Full Time, Part Time Workplace: Onsite Languages: English, German