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

Join the Department of Electrical and Computer Engineering at Aarhus University for a postdoctoral position focused on efficient foundation model inference across the computing continuum, from Cloud to Edge. This one-year, full-time, fixed-term postdoc (with possible extension) offers the opportunity to contribute to cutting-edge research in communication-efficient and distributed foundation model inference. The research aims to enable scalable, low-latency, and resource-aware deployment of large foundation models, with topics including token compression, adaptive token pruning, distributed and collaborative inference strategies, Mixture-of-Experts architectures, resource-aware and latency-constrained optimization, and edge intelligence for on-device deployment.

As a postdoc, you will work in a dynamic and collaborative environment, publishing in top-tier venues and collaborating with leading academic and industry partners within the Horizon Europe Project. The position is supervised by Professor Qi Zhang, whose research focuses on Edge Intelligence, Goal-oriented Semantic Communications, Internet of Things, and analytics on compressed data. Aarhus University is committed to excellence in research, education, and innovation, with research spanning IoT, machine learning, signal processing, and digital twins, emphasizing high-impact and societal relevance.

Denmark offers an outstanding work-life balance, family-friendly policies, subsidised childcare, public healthcare, and excellent education. Aarhus University provides a supportive workplace culture, state-of-the-art facilities, strong support for research career development, mentoring, international networking, and a commitment to diversity, equity, and inclusion. The place of work is Helsingforsgade 10, 8200 Aarhus N, and the area of employment is Aarhus University with related departments.

Applicants must have a Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a related field, with a strong background in deep learning (e.g., Transformers, foundation models), programming skills in Python and experience with deep learning frameworks (e.g., PyTorch), experience with distributed systems and edge AI, a strong publication record, and excellent English communication skills. Advantageous qualifications include experience with stream data, Goal-oriented Communications, and collaborative, cross-cultural research environments. Applications must be submitted in English and include a CV, degree certificate, publication list, statement of future research plans, information about research activities, teaching portfolio, and verified teaching experience.

The application deadline is April 30, 2026. Shortlisting is used, and all applicants will be notified about the assessment process. Letters of reference can be uploaded by referees, but must be arranged in advance. Salary is determined by seniority as agreed between the Danish Ministry of Taxation and the Confederation of Professional Associations. Aarhus University offers relocation services and career counselling for international researchers and accompanying families. For further information, contact Professor Qi Zhang at [email protected].

Apply via Aarhus University's recruitment system under the job advertisement. For additional details, visit the application link provided.