This master thesis is part of the NeuroSys B1 project, which aims to develop energy‑efficient optical transmission technologies for neuromorphic hardware accelerators. The rapid growth of AI systems is shifting computation toward densely interconnected processing units, increasing demands on bandwidth, connectivity density, and energy efficiency in data centers. As a result, copper interconnects are increasingly being replaced by optical technologies over short distances. The strong industrial relevance of NeuroSys B1 is highlighted by the recent acquisition of the Aachen‑based startup and project partner aiXscale by Astera Labs, a leading provider of rack‑scale AI systems. However, short‑distance optical interconnects are still limited by the high energy consumption of electro‑optical signal processing. To overcome this, the project investigates electro‑optical artificial neural networks based on reconfigurable optical circuits with remanent phase shifters that require energy only to change their state.
At Peter Grünberg Institute - Electronic Materials (PGI‑7), we have extensive expertise in the design, fabrication, and characterization of area‑dependent memristive devices. The project aims to bridge memristive technology and integrated photonic circuits by developing a novel photonic component. The work contributes to an emerging interdisciplinary research field combining electronics and photonics. Your main objectives will be:
For deeper insights, have a look at our institute website: and the website for the mentioned project (in German):
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 support you in your work with:
In addition to exciting tasks and a collegial working environment, we offer you much more:
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 realise their potential is important to us.
The following links provide further information on diversity and equal opportunities: and on specific support options:
We look forward to receiving your application. The job will be advertised until the position has been successfully filled. You should therefore submit your application as soon as possible.
#J-18808-LjbffrVeröffentlichungsdatum:
07 Apr 2026Standort:
JülichEinsatzort:
Helmholtz Information & Data Science Academy, Jülich, GermanyTyp:
VollzeitArbeitsmodell:
Vor OrtKategorie:
Erfahrung:
2+ yearsArbeitsverhältnis:
Angestellt
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