Research Associate (Machine Learning and Neuroscience) | Wissenschaftliche/r Mitarbeiter/in (m/w/d)

Job Summary

This Research Associate role is a fixed-term, full-time position within the BMBF-funded SWAMBIT project, focusing on developing a novel, brain-inspired AI architecture. The successful candidate will conduct independent research in Machine Learning and Neuroscience, specifically designing, implementing, and training modular AI components, developing a 'Shared Global Workspace' for coordination, and building a memory bank inspired by the Hippocampus. Daily tasks include investigating the effects of sparsity and modularity on energy efficiency, publishing research findings, and contributing to open-source software development. Key requirements include a Master's degree in a relevant scientific field (e.g., Computer Science or Computational Neuroscience), excellent knowledge of neural networks and Transformer models, and strong proficiency in Python, PyTorch, or JAX. This position offers a unique opportunity to pursue a doctorate (PhD) while collaborating closely with partner institutions in Berlin and Bern, utilizing access to modern GPU cluster infrastructure (A100, H100, etc.).