Pre-doctoral position

Brain-inspired computing circuits

Ref. 2020_046

Project description

We are looking for a highly motivated PhD student for our activities in brain-inspired computing. We aim to advance the understanding and capabilities of oscillating neural networks (ONN) with the goal of developing technologies for future neuromorphic computing. Activities comprise designing, simulating and fabricating and analyzing nanoscale devices and machine-learning circuits. In particular, electrical and thermal characterization experiments should be performed. Furthermore, we will implement and simulate machine learning task such as pattern and pattern recognition using these ONN. The offered position will be associated with the EU HORIZON 2020 project NeurONN.

The successful candidate will have access to a state-of-the-art exploratory research facility for the fabrication and characterization of nanoelectronic devices and circuits including a fully equipped clean room as well as access to a powerful compute infrastructure.

Essential requirements

Applicants are expected to hold a Master’s degree in electrical engineering, computer science, physics or a related field. The ideal candidate is very talented, creative, highly motivated and has excellent communications skills and is open to working in an international, multidisciplinary team.

How to apply

Your application should be submitted using the apply button below and include the following:

  • A full CV
  • Relevant university transcripts
  • Two references, or contact details of potential referees

Please be advised that the application material may be shared with relevant staff at IBM as part of the application process.

This position is available starting immediately for a duration of three years in a collaborative and creative group in a lively research environment.

Questions? For more information on technical questions please contact Dr. Siegfried Karg ().


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