Postdoc in Efficient Foundation Model Inference Across the Computing Continuum Aarhus University in Denmark

Aarhus University is advertising a Postdoctoral Researcher position in efficient and distributed foundation model inference across the edge-cloud computing continuum . The role sits in the Department of Electrical and Computer Engineering and is linked to research on scalable AI systems, communication-efficient inference, edge intelligence, and resource-aware deployment of large foundation models. The successful candidate will work on topics such as token compression , adaptive token pruning , d...

Postdoctoral Researcher opportunity at Aarhus University in efficient and distributed foundation model inference across the edge–cloud continuum . The project sits at the intersection of Artificial Intelligence , Machine Learning , Distributed Systems , and Edge Computing , with a focus on making foundation model inference more efficient across computing environments. The post is shared by Qi Zhang , Professor at Aarhus University and project coordinator of an HE-MSCA-DN project. The role is a p...

Aarhus University in Denmark is recruiting a Postdoctoral Researcher for a project on Efficient Foundation Model Inference across the computing continuum. The research area includes Large Language Models (LLMs) , Foundation Models , Edge AI , Distributed AI , Cloud-to-Edge Computing , Mixture-of-Experts (MoE) , and resource-efficient AI systems . The post is based in the Department of Electrical and Computer Engineering and is described as a full-time fixed-term appointment. The selected researc...

Postdoctoral position at Aarhus University in physics-driven machine learning for transient electromagnetic (TEM) data and subsurface imaging . The project is based in the Department of Electrical and Computer Engineering , within the Signal Processing and Machine Learning section, and is linked to the Hydrogeophysics Group at the Department of Geoscience. The research focuses on ground-based, airborne, and drone-based TEM data, using the fully differentiable TEM forward-modelling framework anEM...

Fully funded PhD opportunity in Graph Representation Learning at Aalborg University in Denmark . This post is a repost/shared visibility message rather than a direct recruitment post from the supervisor or hiring PI. The opportunity is relevant to Computer Science , Mathematics , and Information Technology , with a focus on graph-based machine learning and representation learning methods. The LinkedIn post does not include detailed eligibility criteria, stipend amount, tuition coverage, or a dea...