Building 02.5 / Room 202
E-Mail
Neuromorphic Computing
About
In this topic, we work on bio-inspired, post-van-Neumann computing paradigms, 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- and system integration of emerging devices like memristive materials into neuromorphic computing (NC) architectures. With this, we aim to enable benchmarking of full systems in various application areas.
Research Topics
- NC Systems in Applications
Bringing the NC system into applications especially for edge computing.
- Advanced Networks and Interconnects
Enabling scalable neuromorphic systems with optimized digital and analog interconnects.
- Configurable Neuromorphic Compute Units
Desiging programmable computing arrays to implement different computing paradigms (Computing in Memory, Content Addressable Memory, Spiking Neural Networks, Oscillatory Neural Networks, …).
- Brain-Inspired Processing Elements
Implementing complex neuron models (“neural-based computing”) in modern CMOS nodes.
Additional Contact Persons
Doctoral Researcher
PhD Topics
Specific PhD topics are advertised here, but we are also interested to see your application besides that. Please detail your motivation 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 fields of analog and digital integrated circuit design, cryogenic measurements and characterization, electronics modeling, electronic system design, and connected.
In some cases specific topics are advertised under Current Vacancies, but please reach out anyway if you are interested and no or no fitting topic is advertised, we can see together what could fit you.
Meet the team
Last Modified: 06.01.2025