Aarhus University
3 months ago
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Postdoctoral Research Position in Efficient Foundation Model Inference at Aarhus University Aarhus University in Denmark
Degree Level
Postdoc
Field of study
Computer Science
Funding
Fully funded postdoctoral position for 1 year, full-time fixed-term, with a possibility of extension by 1–2 additional years.
Deadline
Aug 30, 2026
Country
Denmark
University
Aarhus University
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About this position
Aarhus University in Denmark is recruiting a Postdoctoral Researcher for a project on Efficient Foundation Model Inference across the computing continuum.
The research area includes Large Language Models (LLMs), Foundation Models, Edge AI, Distributed AI, Cloud-to-Edge Computing, Mixture-of-Experts (MoE), and resource-efficient AI systems. The post is based in the Department of Electrical and Computer Engineering and is described as a full-time fixed-term appointment.
The selected researcher will work under Professor Qi Zhang in an internationally collaborative environment, including Horizon Europe projects. The role emphasizes token compression, adaptive token pruning, distributed and collaborative inference, latency-constrained optimization, and scalable deployment of foundation models on edge and cloud systems.
Eligibility highlights: a PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field; strong deep learning and transformer background; Python and PyTorch skills; experience with distributed systems and Edge AI; strong publication record; and excellent English communication skills. Preferred experience includes stream data, goal-oriented communications, and international research collaboration.
Funding: the position is fully funded. The appointment is for 1 year, with a possible extension of 1–2 additional years.
Deadline: 30 August 2026 (23:59 CEST). Applicants should apply online via the Aarhus University vacancy portal and upload a CV, degree certificates, publication list, research statement, and teaching portfolio if applicable.
Funding details
Fully funded postdoctoral position for 1 year, full-time fixed-term, with a possibility of extension by 1–2 additional years.
What's required
Applicants should hold a PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related discipline. Strong background in deep learning and foundation models is required, along with experience with transformers, strong Python programming skills, and experience with PyTorch or equivalent frameworks. Knowledge of distributed systems and Edge AI is expected, together with a strong publication record and excellent English communication skills. Preferred qualifications include experience with stream data, goal-oriented communications, and international collaborative research environments.
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Professors
Professor at Aarhus University
Denmark
Research Interests
Internet Of Things
Cloud Computing
Computer Science
Electrical Engineering
Deep Learning
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.