PhD in Physical AI for Robotics: Adaptive Foundation Models

Technical Sciences - Institut for Electro- og Comp; Aarhus; On-site; DKK 360,000 - 420,000; Full time

Job summary

Aarhus University invites applications for a three-year PhD position in Physical AI at the Adaptive & Agentic AI (A3) Lab, Department of Electrical and Computer Engineering. The successful candidate will pursue research on adaptive foundation models for robotics, involving multimodal perception, action and planning in dynamic environments.

The project spans vision-language-action models, world models and edge intelligence, with evaluation across public datasets and robotic platforms.

Qualifications

• Master's degree in computer science, electrical/computer engineering, robotics or related field.
• Strong foundations in ML, linear algebra, probability and optimisation.
• Proficient Python and PyTorch with evidence of deep-learning work.

Responsibilities

• Conduct original research in Physical AI for robotics under supervision.
• Develop and evaluate novel foundation models and planning methods.
• Publish findings in top ML, CV and robotics conferences.

Skills

Python

PyTorch

Machine learning

Research potential

Education

Master's degree

Job description

Aarhus University invites applications for a three-year PhD position in Physical AI at the Adaptive & Agentic AI (A3) Lab, Department of Electrical and Computer Engineering. The successful candidate will pursue research on adaptive foundation models for robotics, involving multimodal perception, action and planning in dynamic environments.

The project spans vision-language-action models, world models and edge intelligence, with evaluation across public datasets and robotic platforms.