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| Angebotsdatum: |
29. Juni 2023
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| Art der Stelle: |
Doktorarbeit / Diplomarbeit |
| Fachgebiet: |
Physik > Sonstiges
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| Titel des Themas: |
Doctoral Project Opportunity – Physics and Neural Network-Based Combinatorial Optimization
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| Institut: |
Forschungszentrum Jülich GmbH
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| Adresse: |
| Frau Michalski |
| Wilhelm-Johnen-Straße |
| 52428 Jülich bei Köln,52068 Aachen |
| Tel.: Fax.:
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| Bundesland: Nordrhein-Westfalen |
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| Homepage: |
https://www.fz-juelich.de/de/karriere/stellenangebote/2023D-061?apply
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| E-Mail Kontakt: |
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| 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 – Physics and Neural Network-Based Combinatorial Optimization
Your Job:
There is a current opening for a doctoral project that would work at the intersection of statistical physics, neural network hardware in neuromorphic systems, and computer science. The project area is to tackle a large class of important computational problems that still challenge science and technology: NP hard problems in combinatorial optimization, which includes scheduling, routing, and many resource allocation problems. The approach will be to combine insights from statistical physics in understanding hardness of such problems and the dynamics of solvers, with biologically-inspired computational hardware approaches to build more energy-efficient physical systems.
We are looking for a doctoral researcher who will:
Explore and improve physics-based and neural network approaches (Hopfield networks, Ising systems, Boltzmann machines, etc.) in the solving of non-convex optimization problems
Characterize analytically the top optimization solving algorithms
Develop tools for implementing and tuning (e.g. hyperparameters) physical solvers based on biologically-inspired hardware
Develop and quantify improved schemes compatible with hardware, compare and benchmark to competing approaches
The project will be jointly supervised by experts from the Peter Grünberg Institute (PGI-14: Neuromorphic Compute Nodes) and the Institute of Neuroscience and Medicine (INM-6: Computational and Systems Neuroscience).
Further information is available at https://www.fz-juelich.de/en/pgi/pgi-14 and https://www.fz-juelich.de/en/inm/inm-6/forschung/theory-of-multi-scale-neuronal-networks.
Your Profile:
Master’s degree in physics, electrical / electronic engineering, computer engineering, computer science, or a related field
Background in statistical physics, preferably statistical field theory
Strong skills in programming, preferably in python, and computational simulations
Interest and background in neuromorphic computation or neuronal networks are a plus
Coursework in algorithms, computational complexity theory, and information theory is desired
Coursework and experience in combinatorial optimization, systems and control theory, machine learning, spiking neural networks, and statistics are desired
Excellent communication skills and ability to work in a team are essential
Strong English skills will be required for the international working environment
Our Offer:
We offer ideal conditions for you to work on a doctoral project at the leading edge of science, including:
Opportunity to work in the highly interdisciplinary and exciting field of neuromorphic and brain-inspired computing, collaborating with other physicists, neuroscientists, computer scientists, and engineers
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: Jülich and 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.
www.fz-juelich.de
# 6 BEST EMPLOYERS IN GERMANY 2023
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| Methoden: |
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| Anfangsdatum: |
8. August 2023 |
| Geschätzte Dauer: |
4 Jahre
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| Bezahlung: |
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