Postdoc in Efficient Foundation Model Inference across the Computing Continuum

About the Role

Aarhus University’s Department of Electrical and Computer Engineering is seeking a highly motivated postdoctoral researcher to advance communication-efficient and distributed foundation model inference across the computing continuum, from cloud to edge. The initial appointment is one year starting 1 September 2026, with a possible extension of one to two years subject to performance. The principal investigator is Professor Qi Zhang.

This is a research-focused role at a well-funded Danish university with strong industry connections. Denmark’s collective agreements provide competitive salaries and benefits for postdocs.

Responsibilities

• Design and implement novel algorithms for scalable, low-latency foundation model inference at the edge and across distributed systems
• Develop frameworks for communication-efficient deployment of large models under bandwidth and compute constraints
• Publish findings in top-tier venues in machine learning, distributed systems, or communications
• Collaborate with the research group and international partners on joint projects
• Contribute to research group activities including seminars, workshops, and student mentoring
• Assist with grant applications where relevant

Requirements

• PhD in electrical engineering, computer science, or a closely related field, awarded before the start date
• Strong publication record in machine learning, distributed computing, or edge AI
• Proficiency in Python and experience with PyTorch or equivalent deep learning frameworks
• Solid mathematical grounding in optimization, information theory, or statistics
• Excellent written and spoken English

Nice to Have

• Experience with model quantization, pruning, or knowledge distillation
• Background in wireless communications or mobile edge computing
• Familiarity with HPC environments and large-scale GPU cluster training
• Interest in LLM serving infrastructure and inference optimization

How to Apply

Apply through the Aarhus University vacant positions portal at international.au.dk. The initial posting deadline was April 30, 2026; contact Professor Qi Zhang at qz@ece.au.dk or +4541893253 to confirm whether the position remains open and obtain current application instructions. The university offers access to state-of-the-art computing infrastructure and strong support for international career development.