Efficient deep learning for embedded devices
We are looking for a master's student for a project focused on efficient deep learning for embedded devices. The candidate will work on optimizing deep learning models to run efficiently on resource-constrained hardware, such as microcontrollers and edge devices.
Required knowledge
Experience with machine learning frameworks, model compression techniques, and embedded systems is a plus.