The Fraunhofer-Gesellschaft (www.fraunhofer.com) currently operates 76 institutes and research units throughout Germany and is a leading applied research organization. Around 32 000 employees work with an annual research budget of 3.4 billion euros.
Developing innovative technology solutions and bringing them to application - that is our goal at the Fraunhofer Institute for Photonic Microsystems IPMS. With our expertise in the development of photonic microsystems, related technologies including nanoelectronics and wireless communication solutions, we create - in flexible and interdisciplinary teams - technologies for innovative products in a wide range of markets such as automotive, industrial and aerospace.
The Center for Nanoelectronic Technologies (CNT) at Fraunhofer IPMS is advancing research in the field of in-memory computing and neural network acceleration. We are seeking a student to support the measurement and characterization of mixed-signal FeFET-based accelerators, involving both hardware and software tasks. The candidate will work on system-level characterization, controlling digital interfaces, and analyzing performance data. This role requires an interest in both digital and analog design, along with practical skills in measurement techniques and Python programming.

• Characterize mixed-signal FeFET accelerators in the lab using existing setups
• Utilize LabVIEW for test automation and perform updates as needed
• Control digital interfaces to coordinate accelerator operations
• Write Python scripts for data preparation and post-processing of measurement results
• Assist in performance evaluation, focusing on AI, neural networks, and other application areas
• Collaborate with research team to enhance characterization methodologies and document findings