Publisher
source

Qi Zhang

8 months ago

Postdoctoral Position in Efficient Foundation Model Inference and Edge Intelligence at Aarhus University Aarhus University in Denmark

Degree Level

Postdoc

Field of study

Computer Science

Funding

The position is a full-time, fixed-term postdoctoral appointment for one year, with the possibility of a 1–2 year extension based on performance. Salary is determined by seniority and in accordance with the collective labour agreement between the Danish Ministry of Taxation and the Confederation of Professional Associations. The position offers access to state-of-the-art facilities, research career development support, and a vibrant, inclusive research environment. No specific stipend amount is

Deadline

Expired

Country flag

Country

Denmark

University

Aarhus University

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Keywords

Computer Science
Electrical Engineering
Information Technology
Deep Learning
Cloud Computing
Python Programming
Edge Computing
Distributed System

About this position

The Department of Electrical and Computer Engineering at Aarhus University is inviting applications for a postdoctoral position focused on efficient and distributed foundation model inference across the computing continuum, from cloud to edge. This research opportunity is ideal for candidates interested in scalable AI systems, edge intelligence, and communication-efficient artificial intelligence. The successful applicant will join a dynamic research group led by Professor Qi Zhang, whose expertise includes edge intelligence, semantic communications, and analytics on compressed data.

The postdoctoral researcher will contribute to cutting-edge research topics such as token compression, adaptive token pruning, distributed and collaborative inference strategies, Mixture-of-Experts (MoE) architectures, resource-aware and latency-constrained inference optimization, and on-device deployment of foundation models. The position is part of the Horizon Europe Project and offers opportunities for collaboration with leading academic and industry partners, as well as publication in top-tier venues.

Applicants should have a Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a related field, with a strong background in deep learning (including Transformers and foundation models), programming skills in Python, experience with deep learning frameworks like PyTorch, and familiarity with distributed systems and edge AI. A strong publication record and excellent English communication skills are required. Experience with stream data, goal-oriented communications, and collaborative, cross-cultural research environments is advantageous.

The position is a full-time, fixed-term appointment for one year, starting September 1, 2026, with the possibility of a 1–2 year extension based on performance. Salary and employment conditions are determined by Danish collective agreements, and the university offers a vibrant, inclusive research environment with state-of-the-art facilities, strong support for career development, and a commitment to diversity, equity, and work-life balance. Denmark is renowned for its high quality of life, family-friendly policies, and excellent public services.

To apply, candidates must submit their application via Aarhus University’s recruitment system, including a CV, degree certificate, publication list, research plan, and teaching portfolio. Reference letters should be arranged in advance. For further information, contact Professor Qi Zhang at [email protected]. The application deadline is April 30, 2026.

For more details, visit the official job posting: Aarhus University Postdoc Position.

Funding details

The position is a full-time, fixed-term postdoctoral appointment for one year, with the possibility of a 1–2 year extension based on performance. Salary is determined by seniority and in accordance with the collective labour agreement between the Danish Ministry of Taxation and the Confederation of Professional Associations. The position offers access to state-of-the-art facilities, research career development support, and a vibrant, inclusive research environment. No specific stipend amount is

What's required

Applicants must hold a Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a related field. Required qualifications include a strong background in deep learning (such as Transformers and foundation models), proficiency in Python and deep learning frameworks like PyTorch, experience with distributed systems and edge AI, a strong publication record in reputable conferences or journals, and excellent written and spoken English communication skills. Additional advantages include experience with stream data, goal-oriented communications, and collaborative, cross-cultural research environments.

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Professors

Professor at Aarhus University

University Name
Country flag

Denmark

Research Interests

Internet Of Things

Cloud Computing

Computer Science

Electrical Engineering

Deep Learning