Your role

The PhD project will combine organoid generation and long-term maintenance, MEA-based stimulation and recording, and closed-loop training protocols to probe how activity-dependent plasticity in the organoid reshapes functional connectivity during learning. The aim is both to advance OI as a computing paradigm and to use it as a window onto the cellular and network correlates of learning and memory in human neural tissue. The work is highly interdisciplinary, bridging wet-lab neurobiology, electrophysiology and computational analysis.

Your profile

• Master’s degree (or equivalent) in neuroscience, bioengineering, biology, biophysics or a closely related field
• Hands-on experience with multielectrode array (MEA) technology – electrophysiological stimulation and recording, and analysis of extracellular network activity is required
• A solid background in neurobiology, ideally with knowledge of the mechanisms o...