PhD Position in Agentic Test-Time Adaptation for Efficient and Reliable Edge Intelligence

Aarhus University is seeking a fully funded PhD candidate to join the newly established A3 Lab (Adaptive & Agentic AI) within the Department of Electrical and Computer Engineering. This project focuses on developing a high-performance, low-latency framework for Test-Time Adaptation (TTA) to reliably deploy Foundation Models in dynamic edge environments. The successful candidate will drive high-impact research in autonomous monitoring, lightweight on-the-fly adaptation, and energy-efficient AI execution. Ideal applicants hold a Master’s in a quantitative field (CS, EE, ML) with advanced Python/PyTorch skills and a robust foundation in machine learning and computer vision. This role offers unparalleled opportunities to publish at top-tier venues (e.g., NeurIPS, ICML, CVPR) and engage with the prestigious ELLIS network.