Advertising division: PGI-14 - Neuromorphic Compute Nodes
Reference number: 2021-304
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
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.
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
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
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
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
We also welcome applications from disabled persons.