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Professor (W3) Neuromorphic Compute Nodes
Jülich Aachen Research Alliance / RWTH Aachen University / Forschungszentrum Jülich GmbH
Focusing Expertise – Shaping the Future: The Jülich Aachen Research Alliance (JARA) is an innovative cooperation model between RWTH
Aachen University and Forschungszentrum Jülich GmbH in Germany. This Alliance brings together an internationally respected university
of technology and one of the leading national research centres in Europe.
As a member of the Helmholtz Association, Forschungszentrum Jülich makes an effective contribution to solve major challenges our society
is facing in the fields of information, energy, and bioeconomy. They focus on varied tasks in the area of research management and utilize
large, often unique, scientific infrastructures. Come and work with around 6,100 colleagues across a range of topics and disciplines at one of
Europe's largest research centres.
With its 45,000 students, 10,000 employees and innovative research areas, RWTH Aachen University is one of the leading academic and
research institutions in Europe. Both academics and research are structured to focus on international, practical, and interdisciplinary orientations.
The research performed at the Peter Grünberg Institute (PGI) of the Forschungszentrum Jülich ranges from physical concepts and emerging
materials to novel nano electronic devices. Supported by the Jülich Supercomputing Centre (JSC) and the Helmholtz Nanoelectronic Facility
(HNF), a 1000 m2 clean room, PGI will further strengthen its activities on neuromorphic computing for artificial intelligence by establishing two
In this context RWTH Aachen University and Forschungszentrum Jülich are jointly seeking
Two Directors of the Peter Grünberg Institute, Forschungszentrum Jülich – Institute of Neuromorphic Computing,
to be appointed as Professors (W3) in the Faculty of Electrical Engineering and Information Technology at RWTH
The first position will be appointed as Chair of
Neuromorphic Compute Nodes
We are seeking a personality with the ability to head leading edge
research for the conception of post-von-Neumann hardware architectures.
The complexity, high compute load and communication needs
required by modern applications such as future artificial intelligence
and the simulation of biological neural networks shall be addressed. A
background in engineering, physics, or material science with demonstrated
scientific excellence in preferable more than one of the following
domains is desirable: massively parallel computer architectures, highspeed
digital and/or analog signal processing architectures, and VLSI
circuit design. Moreover, competences in fault tolerance and reliability,
as well as profound knowledge in system integration would be a strong
asset of the candidates.
The objective of the position is to model the targeted hardware
architecture, foremost considering novel concepts based on system
-on-chip platforms. This multidisciplinary research requires the
management of chiplet development down to the physical level,
combining available state-of-the-art technologies and the opportunities
provided by emerging devices and materials (e.g., phase-change
materials, redox-systems, or spintronics). These hardware architectures
should embrace systems of natural complexity as well as requirements
of ANN applications and computing in memory. A close interaction with
the new Institute of Neuromorphic Computing - Neuromorphic Software
Ecosystem is essential to ensure alignment and close connection
with a user community. The institute will be part of the Jülich Aachen
Research Alliance, Section Future Information Technologies (JARA-FIT)
and the Chair will be affiliated to the Faculty of Electrical Engineering
and Information Technology of the RWTH Aachen University as a W3
position according to the Jülich model.
Besides a Ph.D. degree in a related area, an outstanding record of achievements as an independent researcher beyond the Ph.D. level is required
for both positions. The ability to form and lead an interdisciplinary research team is expected, including acquisition of competitive third-party
funding. Teaching requirements of two hours / week have to be fulfilled, by offering courses within the electrical engineering curriculum at
RWTH Aachen University.
RWTH Aachen University and Forschungszentrum Jülich are equal opportunities employers and pursue a policy of excluding all types of discrimination.
Applications from women scientists are particularly welcome. Applications from women will be given preference in the case of equal suitability,
qualifications and experience, unless special reasons concerning the person of a male candidate outweigh these considerations. Attention
is drawn to Art. 8, Para. 1, of the Equal Opportunities Act of the Federal State of North Rhine-Westphalia (LGG). Forschungszentrum Jülich has
been certified as family friendly as part of the "auditberufundfamilie" initiative. RWTH Aachen University awards its "FAMOS für FAMILIE" prize to
executive staff who have made a special contribution to family-friendly measures. Both institutions also offer support for dual career couples. Upon
acceptance of the position support is available from Human Resource Development in the form of comprehensive services.
Applications from suitable candidates with disabilities are explicitly encouraged. This also holds for those with an equivalent degree of incapacity
in terms of Art. 2 Code of Social Law (SGB) IX. RWTH Aachen University has been named a "disability-friendly" employer for its commitment to
training and employing disabled people.
Applications should be in English and should be sent with the usual documentation (CV, copies of certificates, list of publications, teaching experience,
brief summary of previous research activities including a list of acquired third-party funding, research concept for the advertised position),
by the 27-01-2020, to (e-mail preferred):
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