Neuromorphic Computing

Objective
We work on bio-inspired, post-van-Neumann computing paradigms. We utilize computing paradigms of the brain to exploit energy efficiency and inspire novel computing implementations,starting from physical-mathematical principles to the implementation level of prototype systems (e.g. based on FPGAs) or specially designed integrated circuits. These developments include CMOS solutions, system implementation and co – integration of emerging devices like memristive materials into neuromorphic computing (NC) architectures for edge computing. With this, we aim to enable benchmarking of full systems for various use cases.
Group Coordinators
Doctoral Researcher
Join the Group
Our work is challenging, interdisciplinary, yet very rewarding. It is clear that this can only be achieved within a good team. Especially the inputs of doctoral researchers and students are valued, so we are continuously looking for new excellent candidates.
PhD Topics
Based on our research interests, we advertise specific PhD topics at Current Vacancies, but are also very interested to see your application besides that. Please detail your motivation in your application and your fit with us.
Bachelor and Master Theses Topics
We are happy to offer interested and motivated Bachelor and Master students topics for their theses at our institute in the field of Neuromorphic Computing with analog and digital integrated circuit design, algorithm development, electronics modeling, electronic system design, and connected topics.
In some cases, specific topics are advertised under Current Vacancies, but please reach out anyway if you are interested but no fitting topic is advertised. We can see together what could fit you. Please be aware that you will still need the support of a local professor for an external Master thesis.