Summary:
Aarhus University invites applications for a fully funded PhD position within the Department of Electrical and Computer Engineering. This opportunity focuses on enhancing AI models for dynamic edge environments, where continuous adaptation is vital. The successful candidate will work under the A3 Lab directed by Dr. Behzad Bozorgtabar and will engage in interdisciplinary research alongside Prof. Qi Zhang.
Fully Funded PhD Position in Test-Time Model Adaptation at Aarhus University, Denmark
Designation:
PhD Candidate in Electrical and Computer Engineering
Research Area:
- Test-Time Adaptation (TTA)
- Autonomous AI systems
- Edge Intelligence
Location:
Aarhus University, Denmark
- Main workplace: Adaptive & Agentic AI (A3) Lab, Department of Electrical and Computer Engineering, Faculty of Technical Sciences, Aarhus N.
- Research Centre Flakkebjerg, Forsøgsvej 1, DK-4200 Slagelse, Denmark
Eligibility/Qualification:
| Requirement | Details |
|---|---|
| Degree | Master’s degree (120 ECTS) in Computer Science, Computer Engineering, or related field |
| Technical Skills | Proficiency in Python and deep learning frameworks (e.g., PyTorch) |
| Core Knowledge | Strong foundation in machine learning or computer vision |
| Attributes | Mindset for reproducibility, open-source contribution, and interdisciplinary collaboration |
Job Description:
The PhD candidate will develop a high-performance, low-latency framework for Test-Time Adaptation (TTA). The core responsibilities include:
- Autonomous Monitoring: Develop mechanisms for detecting distribution shifts and quantifying model uncertainty.
- On-the-Fly Adaptation: Design lightweight TTA algorithms for model recalibration under strict constraints.
- Efficiency and Reliability: Balance the trade-offs among adaptation accuracy, energy efficiency, and real-time execution.
How to Apply:
Interested candidates must submit the following documents:
- Statement of Interest (1 page)
- Curriculum Vitae (including publication list, if applicable)
- Academic Records (transcripts and diplomas)
- Use the project description provided in the announcement.
Applications can be submitted via the link under “how to apply” on the official Aarhus University webpage.
Last Date to Apply:
15 August 2026 at 23:59 CEST
For further inquiries, contact:
- Behzad Bozorgtabar: behzad@ece.au.dk (Main Supervisor)
- Qi Zhang: qz@ece.au.dk (Co-Supervisor)
Aarhus University aims to foster a diverse and inclusive workplace and encourages all qualified candidates to apply.
