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Forschungszentrum Jülich

Several PhD Positions in Brain-Inspired Computing, Associative Memories, and Kolmogorov-Arnold Networks Forschungszentrum Jülich GmbH in Germany

Degree Level

PhD

Field of study

Computer Science

Funding

Paid PhD position classified according to pay group 13 (75%) of the TVöD-Bund. The post is initially for 3 years with the prospect of longer-term employment. Additional year-end bonus and capital-forming benefits are mentioned.

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Country

Germany

University

Forschungszentrum Jülich

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Keywords

Computer Science
Electrical Engineering
Materials Science
Mathematics
Computational Science
Physics
Integrated Circuit
ML

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About this position

Forschungszentrum Jülich GmbH is advertising several PhD positions at the Peter Grünberg Institute – Neuromorphic Compute Nodes (PGI-14) in Aachen, Germany. The projects sit at the intersection of brain-inspired computing, neuromorphic hardware, hardware-software co-design, and machine learning.

Applicants can indicate interest in one of three research directions: associative memory based computing (including Dense Associative Memories, Modern Hopfield Networks, CAM designs, and experimental testing on taped-out IC chips), Kolmogorov-Arnold Networks (KANs) for resource-aware training and accelerator architectures, or broader in-hardware learning with local learning rules for recurrent nonlinear networks and emerging memory technologies.

The role is suitable for candidates with a master's degree in electrical/electronic engineering, computer science, computer engineering, physics, or a related field. Helpful backgrounds include computer architecture, hardware accelerator design, analog/digital/mixed-signal circuit design, SPICE-based simulation, Python programming, machine learning frameworks, advanced mathematics, and knowledge of emerging memory devices.

The position is a paid doctoral appointment under TVöD-Bund pay group 13 (75%), initially for 3 years with the prospect of longer-term employment. The post also mentions year-end bonus, capital-forming benefits, flexible working arrangements, and support for international employees.

English proficiency is required at B2 level or higher according to CEFR, ideally with a certificate. The application remains open until the position is filled. Applicants should apply online and clearly state which project area they are interested in.

Funding details

Paid PhD position classified according to pay group 13 (75%) of the TVöD-Bund. The post is initially for 3 years with the prospect of longer-term employment. Additional year-end bonus and capital-forming benefits are mentioned.

What's required

Master's degree in electrical/electronic engineering, computer science, computer engineering, physics, or a related field. Depending on the project area, applicants should have a good understanding of computer architecture and hardware accelerator design, or a strong electronics background with experience in analog, digital, or mixed-signal circuit design and simulation using SPICE and related tools, or a strong background in coding and advanced mathematics. Programming experience in Python and familiarity with machine learning frameworks are expected. Knowledge of emerging memory devices and computing technologies is beneficial. Excellent communication skills, teamwork ability, and very good written and spoken English are required, with at least B2 level according to CEFR and ideally a supporting certificate.

How to apply

Apply online via the career portal and specify which project area you are interested in. Use the application information page if needed and submit before the position is filled.

More information can be found here

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