Advertising division: PGI-14 - Neuromorphic Compute Nodes
Reference number: 2021-305
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 Associative Computing
There are current openings for Postdoctoral Researchers or Research Associates
to develop neuromorphic circuits and architectures with associative memory
capabilities for novel computing applications. In this exciting job, your
tasks will include:
Exploring in-memory computing systems for pattern storage and recognition,
memory-augmented neural networks, building off of today's high performance
Developing novel analog circuits for content addressable memories (CAMs)
integrated with non-volatile technologies.
Working on practical problems relevant to industry and performing
benchmarking comparisons to the state-of-the-art.
Working in a cross-disciplinary team environment, inventing, simulating,
fabricating and ultimately testing next generation analog and digital
hardware in the laboratory.
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 and machine learning. Exposure
to algorithmic concepts, computational complexity theory, and information
theory will be helpful.
An overall strong mathematical, computational, and engineering background
is needed, but candidates from areas in biology, neuroscience, or
cognitive sciences would be considered as well.
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.
Excellent communication skills and ability to work in a team are
Applicants that may not have all of the desired background are still
encouraged to apply.
We work on cutting-edge research topics with a high potential to positively
impact society. We offer ideal conditions for you to 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.