Master thesis Neural Network compression (f/m/div)

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Job Description

* Focus on the future: You conduct literature review on the latest compression techniques for neural networks with focus on applicability to microcontrollers
* Reliable work: You will support the implementation of selected neural network techniques for processing FMCW radar, microphone or other sensor data
* Take responsibility: You will evaluate and compare implemented techniques in terms of quality loss, memory consumption and processing time on a microcontroller

Your Profile

* Study field: You are currently studying for a master's degree in computer science, electrical engineering or similar
* Tools: You have good knowledge of software development (Python, C, Git)
* Machine learning: You are familiar with the principles of machine learning and neural networks (Torch, Tensorflow)
* Experience: You have already worked with embedded systems (processors of the Cortex-M class or comparable)
* Language skills: You have fluent English skills, written and spoken

Please attach the following documents to your application:

* CV in English
* Certificate of enrollment at university
* Excerpt of the study regulations for the thesis (if applicable)
* Latest grades transcript (not older than 6 months)
* High school report