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Qi Zhang
Just Landed
2 days ago
Postdoc Position: Adaptive and Distributed Foundation Model Inference across the Computing Continuum Aarhus University in Denmark
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full-time paid postdoctoral position for 2 years, with the possibility of extension; salary and terms according to Danish collective agreements at basic salary steps 4-8.
Deadline
Jan 4, 2027
Country
Denmark
University
Aarhus University
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About this position
This postdoctoral project at Aarhus University focuses on adaptive and distributed foundation model inference across the computing continuum. The successful candidate will join the Department of Electrical and Computer Engineering and contribute to research aimed at making large foundation models more scalable, low-latency, and resource-aware by leveraging computation across edge and cloud environments.
The work centers on distributed and collaborative inference strategies, including mixture-of-experts placement and scheduling, token or intermediate feature compression, and communication-efficient inference optimization. The project sits within a dynamic and collaborative environment with opportunities to publish in top-tier venues and to work with academic and industry partners through a Horizon Europe project.
The position is based in the Communication, Control and Automation area at the Department of Electrical and Computer Engineering, with supervision by Professor Qi Zhang. The wider department emphasizes research in Internet of Things, machine learning, signal processing, and digital twins, creating a strong setting for research in efficient AI systems and edge intelligence.
The role is designed for a researcher with a strong foundation in deep learning and distributed AI systems who wants to advance methods for deploying foundation models efficiently across heterogeneous computing resources.
Funding details
Full-time paid postdoctoral position for 2 years, with the possibility of extension; salary and terms according to Danish collective agreements at basic salary steps 4-8.
What's required
Applicants must have a Ph.D. in Computer Science, Computer Engineering, Electrical Engineering or a related field. Required qualifications include a strong background in deep learning, especially Transformers or foundation models; strong programming skills in Python and experience with deep learning frameworks such as PyTorch; experience with distributed systems and edge AI; a strong publication record relative to career stage; and excellent written and spoken English communication skills. Experience with stream data and collaborative, cross-cultural research environments is considered an advantage. The application must be in English and include a curriculum vitae, degree certificate, a complete list of publications, a statement of future research plans, information about research activities, a teaching portfolio, and verified information on previous teaching experience if any.
How to apply
Submit the application through Aarhus University’s recruitment system via the job advertisement page. Prepare the required English application documents, including CV, degree certificate, publication list, research plan, and teaching documentation if applicable. Shortlisting will be used after the deadline.
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Professors
Professor at Aarhus University
Denmark
Research Interests
Internet Of Things
Cloud Computing
Computer Science
Deep Learning
Electrical Engineering
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.