PhD on Small Multimodal Models for Low-Resource Edge Devices

The Decentralized Artificial Intelligence Research Lab (DARL) at the Eindhoven University of Technology is seeking a talented and passionate Ph.D. candidate to join our team. Our mission is to revolutionize the field of Artificial Intelligence (AI) by developing cutting-edge collaborative learning techniques that enable AI models to learn from large-scale decentralized data. Our ultimate goal is to instill self-learning capabilities in globally distributed computational devices for everyday use.

The field of AI has seen unprecedented advancements in recent years, driven by the development of foundation models that have expanded the boundaries of machine capabilities. However, learning

these models requires direct access to vast data repositories, which poses significant privacy and logistical challenges, especially in the health sensing domain that involves personal data. To address this, the DARL is at the forefront of research exploring decentralized and collaborative approaches to developing unified AI systems. Our research entails the development of novel methodologies at the intersection of audio language models, self-supervised learning, data-centric machine learning, and human-machine collaboration for healthcare and high-tech industries.

We are currently seeking a candidate for a PhD position focusing on a small multimodal model for audio (and speech) understanding.
Successful candidate will have the opportunity to work with a dynamic and interdisciplinary team of researchers, collaborating with experts in AI and healthcare.