Your Twin learns with you

30% off annual Pro20% off monthly Pro

Ends in00h00m00s

Publisher
source

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 flag

Country

Denmark

University

Aarhus University

Apply for this position

Keywords

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

Suggested positions

Publisher
source

Aarhus University

Country flag

Denmark

Aarhus University in Denmark invites applications for a full-time, fixed-term postdoctoral position in adaptive and distributed foundation model inference across the computing continuum. The postdoctoral researcher will join the Department of Electrical and Computer Engineering and work on resource-efficient deployment of large foundation models across edge and cloud computing environments. Research topics include distributed and collaborative inference strategies, Mixture-of-Experts placement a...

Computer Science
Electrical Engineering
Information Technology
+4 more

1 week ago

Publisher
source

Qi Zhang

Aarhus University

Country flag

Denmark

Aarhus University in Denmark is hiring a Postdoctoral Researcher for a 2-year project on Adaptive and Distributed Foundation Model Inference across the Computing Continuum . The research will address how large foundation models can become more efficient, scalable, and deployable across heterogeneous edge-cloud environments. Topics include distributed and collaborative foundation model inference, token and intermediate feature compression, Mixture-of-Experts (MoE) placement and scheduling, and re...

Computer Science
Electrical Engineering
Deep Learning
+1 more

1 week ago

Publisher
source

Curtin University

Country flag

Australia

Curtin University is recruiting a full-time Research Associate/Fellow for the High-Performance Intelligent Systems (HPIS) Research Group at the Bentley campus in Perth, Western Australia. The fixed-term role contributes to a Defence-funded research contract developing secure, scalable and resource-efficient software platforms. The research focuses on Platform-as-a-Service (PaaS), distributed systems, cloud and edge-cloud computing, software engineering, performance evaluation and cyber-secure de...

Computer Science
Electrical Engineering
Information Technology
+5 more

1 week ago

Publisher
source

Aarhus University

Country flag

Denmark

Aarhus University invites applications for a PhD in Physical AI for Adaptive Robot Manipulation within the Department of Electrical and Computer Engineering and the Graduate School of Technical Sciences. The project is part of STORM, or Soft Tactile Memory for Safe Physical-AI Correction of Robotic Foundation Models, funded by the Independent Research Fund Denmark. The PhD researcher will develop the machine-learning core that enables robotic foundation models to use physical feedback during act...

Computer Science
Electrical Engineering
Deep Learning
+4 more

5 days ago

Publisher
source

Technical University of Denmark

Country flag

Denmark

DTU Compute is advertising a 2-year fully funded postdoc in cybersecurity , cyber-deception , and adaptive cyber defense as part of the PSYFIND project . The position is based at DTU, Copenhagen/Kgs. Lyngby, Denmark , and is especially relevant for researchers with interests in empirical/experimental cybersecurity , security data analysis , and related areas in cyber defense. This is a strong fit for candidates looking for a research-focused postdoctoral opportunity in a leading technical univer...

Computer Science
Electrical Engineering
Information Technology
+1 more

1 month ago

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.

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts and confirm requirements with the university.

Professors

Professor at Aarhus University

University Name
Country flag

Denmark

Research Interests

Internet Of Things

Cloud Computing

Computer Science

Deep Learning

Electrical Engineering