MSCA Postdoctoral Fellowship 2026: Physical AI at Aarhus University

ELLIS; Aarhus; On-site; DKK 373,134 - 485,074; Full time

Job summary

ELLIS is seeking a postdoctoral candidate for a fellowship at Aarhus University focused on Physical AI. The role involves co-developing an application for the MSCA Postdoctoral Fellowship 2026, emphasizing safe and reliable AI systems.

Candidates must have a PhD in a relevant field and a strong publication record. The A3 Lab is interested in innovative research directions and encourages early contact for application support.

Apply by sending your CV and a research statement to [e-mail].

Qualifications

• Strong publication record in top venues like NeurIPS, ICLR, CVPR, ICCV.
• Research experience in safe, adaptive, and reliable embodied AI systems.

Responsibilities

• Co-develop an application for the MSCA Postdoctoral Fellowship 2026.
• Prepare a competitive fellowship proposal hosted at Aarhus University.
• Focus on Physical AI and related research directions.

Skills

Machine learning

Computer vision

Robotics

Multimodal learning

Foundation models

Education

PhD in machine learning, computer vision, robotics, or related area

Job description

MSCA Postdoctoral Fellowship 2026: Physical AI at Aarhus University

The Adaptive & Agentic AI (A3) Lab at Aarhus University, led by Assoc. Prof. Behzad Bozorgtabar, is seeking an excellent postdoctoral fellowship candidate to co-develop an application for the MSCA Postdoctoral Fellowship 2026.

This is a proposal-development and nomination opportunity, not a pre-secured funded postdoctoral position. The selected candidate will work with the A3 Lab to prepare a competitive MSCA fellowship proposal hosted at Aarhus University.

The proposed research will focus on Physical AI: developing safe, adaptive, and reliable embodied AI systems that can perceive, reason, and act in the physical world. The project will be closely connected to vision-language-action models, robotic foundation models, multimodal reasoning, and safe test-time adaptation for deployment under distribution shift, uncertainty, and real-world constraints.

Possible research directions include efficient adaptation of foundation models for robotics, safety-governed vision-language-action policies, multimodal perception and action, robust physical reasoning, human-aware embodied AI, and reliable deployment of AI systems in safety-critical environments.

We are particularly interested in strong candidates with a PhD in machine learning, computer vision, robotics, embodied AI, multimodal learning, foundation models, or a related area. Candidates should have a strong publication record in top venues such as NeurIPS, ICLR, CVPR, ICCV, ECCV, CoRL, ICRA, IROS, MICCAI, or related journals.

Eligibility highlights:

• The candidate must have successfully defended their PhD by the MSCA 2026 deadline.
• The candidate must satisfy the MSCA mobility rule: they must not have lived or worked in Denmark for more than 12 months in the 36 months before the call deadline.
• Interested candidates are encouraged to contact us as soon as possible, as Aarhus University provides training and proposal-support sessions for MSCA applicants.

To apply, please send your CV and a brief research statement highlighting your experience and fit to: [e-mail]

More information about the A3 Lab:
https://ece.au.dk/en/research/key-areas-in-research-and-development/signal-processing-and-machine-learning/translate-to-english-research-groups-alt/adaptive-agentic-ai-a3-lab