Postdoc Position: Adaptive and Distributed Foundation Model Inference across the Computing Continuum

Postdoc Position: Adaptive and Distributed Foundation Model Inference across the Computing Continuum

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.

This is a full-time, fixed-term position for two years, starting on March 1, 2027, or as soon as possible thereafter. The initial appointment will run until Feb 28, 2029, or for 24 months from the actual start date.

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.

We are looking for a highly motivated and talented candidate with a background in deep learning. The required qualifications include:

• 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.

Following qualifications will be considered as an advantage:

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

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. 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.

We offer a vibrant and inclusive research environment with a clear commitment to real-world impact. Denmark is consistently ranked among the best countries in the world for work-life balance and quality of life. Family-friendly policies include generous parental leave, subsidized childcare, and access to excellent public healthcare and education. As a postdoc at Aarhus University, you will benefit from a supportive and flexible workplace culture that values diversity and offers excellent conditions for researchers and their families.

Specifically, we offer:

• 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 characterized by professionalism, equality, and a healthy work-life balance.

The place of work is Helsingforsgade 10, 8200 Aarhus N, and the area of employment is Aarhus University with related departments.

Applications must be submitted by December 6th, 2026.

For further information, please contact: Professor Qi Zhang, +4541893253, qz@ece.au.dk.

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