[Hiring] Postdoc Position: Adaptive and Distributed Foundation Model Inference across the Computing Continuum @Aarhus University

Role Description

We are seeking highly motivated and talented applicants for a 2-year postdoctoral position (with the possibility of extension) in the area of distributed foundation model inference.

Join us at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing resource-efficient and distributed foundation model inference across the computing continuum, leveraging the computation resources at Edge and Cloud. Our research aims to enable scalable, low-latency, and resource-aware deployment of large foundation models.

The successful candidate will contribute to cutting-edge research on topics including:

• Distributed and collaborative inference strategies;
• Mixture-of-Experts (MoE) placement and scheduling for inference acceleration;
• Token compression or Intermediate feature compression;
• Resource-aware and communication-efficient inference optimization.

You will work in a dynamic and collaborative research environment, with opportunities to publish in top-tier venues and collaborate with leading academic and industry partners within the Horizion Europe Project.

Qualifications

• Ph.D. in Computer Science, Computer Engineering, Electrical Engineering or a related field;
• Strong background in Deep Learning (e.g., Transformers, foundation models);
• Strong programming skills in Python and experience with deep learning frameworks (e.g., PyTorch);
• Experience with distributed systems and edge AI;
• Strong publication record in reputable conferences or journals relative to career stage;
• Excellent written and spoken English communication skills.

• Experience in working with stream data;
• Experience with collaborative, cross-cultural research environments.

Benefits

• Access to state-of-the-art facilities and computing infrastructure;
• Strong support for research career development, including mentoring and international networking opportunities;
• A commitment to diversity, equity, and inclusion in all aspects of our work;
• A workplace characterised by professionalism, equality and a healthy work-life balance.

Company Description

You will be based at the Department of Electrical and Computer Engineering (ECE) at Aarhus University, a dynamic and growing department committed to excellence in research, education, and innovation. Our research spans Internet of things, machine learning, signal processing, to digital twins, all with a strong emphasis on high impact research and societal relevance.

This position will be supervised by Professor Qi Zhang, whose current research focuses on Edge Intelligence, Distributed Foundation Model inference, Internet of Things and Analytics on compressed data.