Doctoral Thesis: Embedded Generative AI for Sensor Applications | Doctoral Thesis: Embedded Generative AI for Sensor Applicati

Job Summary

This doctoral thesis offers a unique opportunity to pursue a PhD while gaining professional experience within Infineon's industrial setting. The research focuses on deploying generative AI models, including transformers and convolutional networks, on resource-constrained embedded systems like microcontrollers. Key challenges addressed include limited memory, computational capacity, energy efficiency, and low-latency requirements. The role involves investigating state-of-the-art techniques such as model compression and architecture optimization, as well as proposing custom microcontroller enhancements like specialized accelerators. Through prototype implementations and real-world validation, the aim is to enable energy-efficient, scalable generative AI for next-generation IoT and edge computing. This position is ideal for individuals seeking to advance their research in a collaborative environment with mentorship from both university professors and Infineon experts.