Phd Position - Aachen, Deutschland - Forschungszentrum Jülich

Forschungszentrum Jülich
Forschungszentrum Jülich
Geprüftes Unternehmen
Aachen, Deutschland

vor 3 Wochen

Lena Wagner

Geschrieben von:

Lena Wagner

beBee Recruiter


Beschreibung
The Peter Grünberg Institute - Neuromorphic Software Ecosystems (PGI-15) led by Prof. Dr. Emre Neftci explores neuromorphic computing technologies that learn and work like the brain.

PGI-15 research aims to design computing algorithms and architectures from the perspective of neuroscience and physical realizations in dedicated circuits and devices.

Applications of our research are targeted to improve computing in many areas, including computer vision, autonomous control, data processing in mobile and wearable devices, and (neuro-)scientific data analysis.

A new European project, METASPIN, envisions a radically new low-power artificial synapse technology based on spintronic nanodevices that will prevent catastrophic forgetting, i.e.

the loss of memory of previously learned tasks upon learning new ones. This project will develop a new class of device that will use magneto-ionics to support synaptic metaplasticity, i.e. a feature inspired by the human brain based on assigning a 'hidden value' encoding its important to the task.

This value will affect how 'plastic' synaptic state is, giving a hierarchy to previously learned information and thus preventing catastrophic forgetting.

The ultimate goal of this project is to integrate this advanced synaptic technology and learning algorithms into an ANN demonstrator to test.

This project is in collaboration with Université Paris-Saclay and the University of Zürich.


Your Job:


  • Devise a theory of probabilistic continual learning and metaplasticity
  • Create a software model incorporating metaplastic nanodevice behavior models (Pytorch or equivalent)
  • Develop continual learning benchmarks and evaluate the model and theory on metaplastic binary neural networks
  • Support the dissemination of software tools and concepts
  • Supervise student projects and BSc/MSc theses
  • Write research articles, regularly participate in international conferences to present your work

Your Profile:


  • Master's degree in physics, computer science, mathematics, electrical/electronic engineering or a related field
  • Familiarity or strong interest in developing neural networks, machine learning and machine learning software frameworks (Pytorch, Tensorflow and/or Jax)
  • Knowledge or practical experience with memristive phenomena are a plus
  • Ability for collaborative work, interdisciplinary and crosstopical thinking
  • Very good communication skills in English, both spoken and written. PGI15 offers an English speaking environment, therefore German language skills are not required

Our Offer:

We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change We offer ideal conditions for you to complete your doctoral degree:

  • A world-leading, interdisciplinary and international research environment, provided with state-of-the-art experimental equipment and versatile opportunities to grow as a curious researcher
  • An interdisciplinary and collaborative work environment including researchers at the following institutes: Neuromorphic Hardware Nodes (PGI14), Electronics Materials (PGI7), the Institute of Neuroscience and Medicine
  • Computational and Systems Neuroscience (INM6), the Jülich Supercomputer Center (JSC) and the Faculty of Electrical Engineering and Information Technology at RWTH Aachen
  • 30 days of annual leave and provision for days off between public holidays and weekends (e.g. between Christmas and New Year)
  • Targeted services for international employees, e.g. through our International Advisory Service

Place of employment:
Aachen (Technologie Zentrum Aachen)

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