OPEN POSITIONS


1. PhD position in Bio-inspired Neuromorphic Computing

Are you excited about designing hardware that mimics biological intelligence with the aim to explore and understand how the brain works? Are you interested in developing hardware-based artificial intelligence (AI) with the goal of solving important societal challenges? Are you a passionate, self-motivated and creative researcher who is driven by solving important questions in neuroscience? If so, then the Semiconductors and Microelectronic systems (SAM) group at TU Berlin has an exciting PhD opening for you at the interface between nanoelectronic devices, computational materials science, neuroscience and AI.

We are seeking a candidate for a PhD position in Bio-inspired Learning and Neuromorphic Computing

Here, you will explore novel materials (including, magnetic, ferroelectric, 2D and correlated materials) and leverage their complex physics to design and simulate advanced nanoelectronic devices. These devices will replicate the finer workings of brain cells (neurons) and their connections (synapses) in the biological brain. Taking inspiration from neural circuits in the biological brain, e.g. the recently mapped connectome of the fruit fly, you will design nanoelectronic circuits that can mimic the connectivity and functioning of such biological networks.

For more details, please see the following link or the document below.

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WHAT WE OFFER

  • These positions offer the opportunity to work on cutting-edge technologies that promise significant impact.
  • The selected students will benefit from working in a young, energetic, growing, highly motivated and international team with a cordial and supportive culture.
  • They will also get the opportunity conduct parts of the project at the University of California, Berkeley and Lawrence Berkeley National Laboratory, USA.
  • In addition, the students will benefit from close collaborations with world-renowned research groups at Fraunhofer Society, Germany, TU Delft, Netherlands, Institute of Neuroinformatics, Zurich, EPFL, Lausanne, and UC Berkeley, USA.