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Advertising division: PGI-14 - Neuromorphic Compute Nodes
Reference number: 2021-304

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There exists a substantial gap between the computational abilities of modern computers and those of the brain. The new Peter Grünberg Institute - Neuromorphic Compute Nodes (PGI-14) aims to close this gap and develop novel computing capabilities by incorporating some of the remarkable features found in biological brains. We aim to lower the energy consumption of today’s hardware while expanding our understanding of the fundamentals of computation. Practical application areas include machine learning, intractable NP-hard problems, scientific computing, and signal processing. We utilize novel technologies such as analog memories combined with modern CMOS elements to build practical circuits and integrated chips for end-to-end demonstrations in the laboratory. The institute has close collaborations with the new Peter Grünberg Institute - Neuromorphic Software Ecosystem (PGI-15), as well as device, materials, circuit researchers and neuroscientists within other institutes at the Forschungszentrum Jülich.

We are looking to recruit a

Postdoc - Design and Implementation of Neuromorphic Systems for Machine Learning and Optimization

Your Job:

There are current openings for Postdoctoral Researchers or Research Associates to build neuromorphic circuits and architectures for tackling challenging problems in optimization and machine learning. Your tasks within this project:

  • Developing novel neuromorphic circuits and architectures tailored to problem classes in optimization and machine learning.
  • Using analog circuits, in-memory computing principles, and asynchronous operations to reduce energy and compute time.
  • Identify and address practical problems relevant to industry and perform benchmarking comparisons to state-of-the-art.
  • Work in a cross-disciplinary team environment to harness existing analog in-memory integrated circuits (IC) for lab experiments, while next generation hardware is invented, designed, simulated, and fabricated.

Your Profile:

  • Master and PhD degree in physics, electrical/electronic engineering, computer science, computer engineering, or related fields.
  • Experience in the analysis and simulation of analog, digital, and/or mixed-signal circuits, including Spice and related simulation tools.
  • Experience with artificial neural networks, machine learning, and/or combinatorial optimization problems. Some exposure to algorithmic concepts, computational complexity theory, and information theory will be helpful.
  • Experience with emerging compute and memory technologies is desired such as non-volatile memories (ReRAM, PCM, Ferro-electric, STT, Flash, etc), analog computing, and beyond CMOS logic technologies
  • Prior experience with circuit design tools is desirable.
  • Excellent communication skills and the ability to work in a team are essential.



Please feel free to apply for the position even if you do not have all the required skills and knowledge. We may be able to teach you some of the missing skills!

Our Offer:

We work on cutting-edge research topics with a high potential to positively impact society. We offer ideal conditions for you to continue and accelerate your research career:

  • A world-leading, interdisciplinary and international research environment with state-of-the-art experimental equipment.
  • Opportunity to collaborate with a diverse and skilled set of colleagues in the field of neuromorphic and brain-inspired computing in order to grow as a young and curious researcher.
  • Flexible working hours and 30 days of annual leave.
  • Targeted services for international employees, e.g. through our International Advisory Service.
  • Exploration and preparation of next career opportunities supported by our Career Center & Postdoc Office ( https://www.fz-juelich.de/careercenter )

We offer you an exciting and varied role in an international and interdisciplinary working environment. The position is initially for a term of 2 years, with longer-term prospects. Salary and social benefits in conformity with the provisions of the Collective Agreement for the Civil Service (TVöD). Depending on the applicant`s qualifications and the precise nature of the tasks, salary grade 13 or 14 TVöD-Bund. Further information on research careers at Forschungszentrum Jülich including our other locations is available at: https://www.fz-juelich.de/portal/EN/Careers/professionals/_node.html
Place of work is Aachen

Forschungszentrum Jülich promotes equal opportunities and diversity in its employment relations.
We also welcome applications from disabled persons.

Additional Information

The job will be advertised until the position has been successfully filled. You should therefore submit your application as soon as possible. We look forward to receiving your application via our
Online-Recruitment-System!

Questions about the vacancy?
Get in touch with us by using our contact form.
Please note that for technical reasons we cannot accept applications via email.