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

Employer
Forschungszentrum Jülich GmbH
Location
Germany (DE)
Salary
salary grade 13 or 14 TVöD-Bund
Posted
August 17 2021
Organization Type
Non-Profit
Job Type
Postdoc

Conducting research for a changing society: This is what drives us at Forschungs­zentrum Jülich. As a member of the Helmholtz Association, we aim to tackle the grand societal challenges of our time and conduct research into the possibilities of a digitized society, a climate-friendly energy system, and a resource-efficient economy. Work together with around 6,800 employees in one of Europe’s biggest research centres and help us to shape change!

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 computation time
  • Identifying and addressing practical problems relevant to industry and perform benchmarking comparisons to the state of the art
  • Working 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, ferroelectric, 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 and Postdoc Office

We offer you an exciting and varied role in an international and interdisciplinary working environment. The position is initially for a term of two years with longer-term prospects. Salary and social benefits are in conformity with the provisions of the Collective Agreement for the Public Service (TVöD). Depending on the applicant’s qualifications and the precise nature of the tasks, salary grade 13 or 14 TVöD-Bund will apply. 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.

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.

www.fz-juelich.de

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