Distributed AI-driven Embedded Intelligence for Ubiquitous Sensing in the Sky

The e-Media Research Lab at KU Leuven, part of the Department of Electrical Engineering (ESAT), offers a PhD position focused on distributed AI-driven embedded intelligence for ubiquitous sensing in the sky. The lab is renowned for its research in signal processing, data analytics, machine learning, and Human-Computer Interaction, with impactful contributions to healthcare, Industry 5.0, biomedical sensing, and education. This project leverages cutting-edge tinyML technologies to enhance intelligence and energy efficiency in resource-constrained devices. As climate change intensifies, clear-air turbulence in aviation and natural disasters are becoming more frequent, highlighting the need for improved weather forecasting and environmental monitoring. Current forecasts in the troposphere are limited to 10 days, and the mechanisms by which Earth's low altitudes (ELA) affect weather patterns are not fully understood. In-situ sensing in ELA can extend forecasts, improve ozone observation, and enhance cosmic radiation monitoring. The rapid development of unmanned aerial vehicles (UAVs) presents a promising solution for densifying ELA monitoring, but challenges remain in handling the vast, heterogeneous data and scaling control infrastructure for airborne sensors. This PhD project addresses these challenges by developing ultra-reliable spatiotemporal (4D) predictions using trustworthy, distributed AI intelligence across heterogeneous aerial nodes. The research will design an aerial platform with distributed computing in a mobile network of resource-constrained devices, incorporating uncertainty-aware AI models to maximize resource efficiency and trustworthiness. The second phase will focus on integrating sensing, computation, and communication for context-aware, self-organized aerial networks. Applicants should have a master’s degree in Electrical Engineering or Telecommunication Engineering, be ranked in the top 10% of their class, and possess strong grades. Essential skills include fluency in English, a solid background in AI-enabled signal processing and machine learning, and strong interpersonal abilities for teamwork in an international environment. Experience in wireless communication and networking fundamentals is a valuable asset. Proof of English proficiency (IELTS, TOEFL, or similar) is recommended. The position offers a PhD scholarship for up to four years, with pre-doc support for non-EER applicants. KU Leuven provides a stimulating research environment, state-of-the-art laboratories, and opportunities for international collaboration. Successful candidates will earn a PhD from a highly ranked university and participate in conferences and workshops with top EU research teams. KU Leuven is committed to diversity, inclusion, and equal opportunity, fostering an environment of open dialogue and respect. For accessibility or support questions, applicants are encouraged to reach out via email. To apply, submit your CV, motivation letter, transcripts, and proof of English proficiency through the KU Leuven online portal. For further information, contact Prof. dr. ir. Jona Beysens or Prof. dr. ir. Hazem Sallouha by email.