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Archiv-Übersicht     Angebot Nr. 14898

Angebotsdatum: 28. Juni 2023
Art der Stelle: Doktorarbeit / Diplomarbeit
Fachgebiet: Mathematik > Scientific Computing
Titel des Themas: Doctoral Project Opportunity – Local Self-Supervision for Closed-Loop Visual Reasoning

Institut: Forschungszentrum Jülich GmbH
Frau Michalski
Dennewartstraße 25 – 27
52068 Aachen
Tel.:    Fax.:
Bundesland: Nordrhein-Westfalen
Homepage: https://www.fz-juelich.de/de/karriere/stellenangebote/2023D-059?apply
E-Mail Kontakt: mail

Beschreibung: 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 7,250 employees in one of Europe’s biggest research centres and help us to shape change!

Would you like to work on an interdisciplinary doctoral project for four years bridging different research topics and disciplines while benefiting from the expertise and supervision of experienced scientists from different institutes at Forschungszentrum Jülich? Then a project within the Jülich Program for Collaborative Doctoral Projects is just right for you. Research at Forschungszentrum Jülich addresses the very latest issues that impact our society, combining basic research with application. Being one of Europe’s biggest and most multidisciplinary research centers with a strong research infrastructure, Forschungszentrum Jülich offers unique opportunities for interdisciplinary projects. Support us researching and developing new ideas and solutions for a changing society. For more information on the Jülich Program for Collaborative Doctoral Projects, please visit: https://go.fzj.de/collaborative-doctoral-projects.

We are offering a four year

Doctoral Project Opportunity – Local Self-Supervision for Closed-Loop Visual Reasoning
Your Job:
The institutes PGI-15 and INM-6 have a common aim: to understand brain function from a computational point of view and to use this knowledge to create new technologies. Despite the success of recent AI models, the brain is still unparalleled in its ability to adapt to complex environments, and does so in a highly energy-efficient manner. This project aims to combine local learning and neuromorphic computing to achieve energy­efficient networks that can reason in complex environments. You will work on layer-local self-supervised learning rules in context-modulated network architectures. We will test these learning rules in a brain-inspired multitask setting, where a single network should learn to solve large numbers of tasks in a context-dependent manner. We will then embed the networks in a closed-loop visual reasoning architecture. The resulting system will be implemented on neuromorphic hardware, such as memristive crossbar arrays and/or Intel Loihi.

Your tasks will involve:

Exploration of brain-inspired local learning rules for multi-task learning
Investigation of brain-inspired network architectures with neuron-specific contextual modulations
Design and implementation of a closed-loop visual reasoning system
Implementation of the resulting networks on neuromorphic computing substrates
The project will be supervised by Prof. Emre Neftci (PGI-15, https://www.fz-juelich.de/en/pgi/pgi-15) and Prof. Abigail Morrison (INM-6, https://www.fz-juelich.de/en/inm/inm-6/forschung/computation-in-neural-circuits).

Your Profile:
We are looking for an outstanding student with a background in computer science; strong candidates with a background in applied mathematics or physics will also be considered
Knowledge of machine learning libraries (e.g. PyTorch, TensorFlow, Jax) is a must
We expect keen insight in the mathematics behind deep learning (e.g. linear algebra, optimization)
Low-level programming skills (C++) are a plus for building device-specific interfaces
Strong motivation for pursuing a doctoral degree within four years in an ambitious but rewarding interdisciplinary project at the interface of computational neuroscience and neuromorphic computing
Our Offer:
We offer ideal conditions for you to work on a doctoral project at the leading edge of science, including:

Excellent scientific and technical infrastructure
Continuous supervision by a team of experts
A vibrant international work environment on an attractive research campus, ideally situated between the cities of Cologne, Düsseldorf, and Aachen
Further development of your personal strengths, e.g. through an extensive range of training courses; a structured program of continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral Researchers and Supervisors: https://www.fz-juelich.de/en/judocs
Extensive company health management, as well as social security and health insurance
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: Forschungszentrum Jülich, PGI-15, located in Aachen

In addition to exciting tasks and a collaborative working atmosphere at Jülich, we have a lot more to offer: https://go.fzj.de/benefits.

The PhD position is fixed for a term of four years. Pay will be in line with the Collective Agreement for the Public Service (TVöD-Bund).

We welcome applications from people with diverse backgrounds, e.g. in terms of age, gender, disability, sexual orientation / identity, and social, ethnic and religious origin. A diverse and inclusive working environment with equal opportunities, in which everyone can realize their potential, is important to us.

For this program it is mandatory to use and upload our CV template: https://go.fzj.de/collaborative-doctoral-projects.

We look forward to receiving your application by August 7, 2023, via our Online Recruitment System.

Questions about the Offer?
Please feel free to contact us via our contact form. Please note that for technical reasons we cannot accept applications via email.



Anfangsdatum: 8. August 2023
Geschätzte Dauer: 4 Jahre