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Aarhus University

Postdoctoral Research Position in Efficient Foundation Model Inference at Aarhus University Aarhus University in Denmark

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available

Deadline

Aug 30, 2026

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Country

Denmark

University

Aarhus University

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Keywords

Computer Science
Electrical Engineering
Information Technology
Deep Learning
Python Programming
Large Language Models

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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

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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