Aarhus University Postdoctoral Research Position 2026 in Efficient Foundation Model Inference
Organization
Aarhus University
Duration
1 Year (Full-Time Fixed-Term Position)
Fellowship Amount
Fully Funded Postdoctoral Position
Overview
About the Organization
Aarhus University (AU) is one of Denmark's leading research universities, internationally recognized for excellence in engineering, computer science, artificial intelligence, and interdisciplinary research. The Department of Electrical and Computer Engineering (ECE) conducts cutting-edge research in Internet of Things (IoT), Machine Learning, Signal Processing, Digital Twins, Communication Systems, and Edge Intelligence.
About the Recruitment
The Department of Electrical and Computer Engineering is seeking a Postdoctoral Researcher to work on Efficient Foundation Model Inference across the Computing Continuum.
The research focuses on:
- Token compression and adaptive token pruning.
- Distributed and collaborative inference strategies.
- Mixture-of-Experts (MoE) architectures.
- Resource-aware and latency-constrained inference optimization.
- Edge Intelligence and on-device deployment of foundation models.
- Cloud-to-Edge AI systems.
- Scalable deployment of Large Foundation Models.
The selected candidate will work under Professor Qi Zhang within an internationally collaborative research environment, including Horizon Europe research projects.
How to Apply
- Visit https://international.au.dk/about/profile/vacant-positions/job/postdoc-position-efficient-foundation-model-inference-across-the-computing-continuum-re-advertisement
- Complete the online application.
-
Upload:
- CV
- Degree certificates
- Publication list
- Research statement
- Teaching portfolio (if applicable)
- Submit the application before 30 August 2026 (23:59 CEST).
Who Can Apply
Applicants should have:
-
Ph.D. in:
- Computer Science
- Computer Engineering
- Electrical Engineering
- Related discipline
- Strong background in Deep Learning and Foundation Models.
- Experience with Transformers.
- Strong Python programming skills.
- Experience with PyTorch or equivalent frameworks.
- Knowledge of Distributed Systems and Edge AI.
- Strong publication record.
- Excellent English communication skills.
Preferred qualifications:
- Experience with Stream Data.
- Goal-Oriented Communications.
- International collaborative research environments.
Why Apply
- Work on cutting-edge Foundation Model research.
- Collaborate with leading international researchers.
- Opportunity to publish in top-tier AI conferences and journals.
- Access to state-of-the-art computing infrastructure.
- Mentorship and international networking opportunities.
- Family-friendly policies and excellent work-life balance in Denmark.
- Possibility of extending the appointment by 1–2 additional years.
Important Dates
| Event | Date |
|---|---|
| Application Opens | Open |
| Application Deadline | 30 August 2026 (23:59 CEST) |
| Expected Joining | 1 November 2026 |
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Financial Support
Fellowship Amount: Fully Funded Postdoctoral Position
Eligibility Criteria
Have strong expertise in Deep Learning, Transformers, and Foundation Models.
Demonstrate proficiency in Python and frameworks such as PyTorch.
Have experience with Distributed Systems and Edge AI.
Possess a strong research publication record.
Demonstrate excellent written and spoken English communication skills.
Important Dates
| 0 | Application Deadline : 30 August 2026 |
| 1 | Expected Start Date : 1 November 2026 |
| 2 | Position Duration : 1 Year (Extendable by 1–2 Years) |
Streams
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