PhD: Physical AI for Safe, Adaptive Robotic Manipulation

Technical Sciences - Institut for Electro- og Comp; Favrskov Kommune; On-site; DKK 380,000 - 460,000; Full time

Job summary

Aarhus University is inviting applications for a fully funded three-year PhD fellowship in Electrical and Computer Engineering as part of the STORM project. The position starts 01 March 2027 or later and sits in the Adaptive & Agentic AI Lab, with potential stays at collaborating institutions.

Candidates should hold a master’s degree in CS/ML/AI/Robotics, have strong Python/PyTorch skills, and be excited about Physical AI, tactile sensing, and online adaptation.

Qualifications

• Master’s degree completed or nearing completion before start date.
• Strong command of Python and PyTorch with hands-on model training experience.
• Interest in Physical AI, tactile sensing, and robotic interaction.

Responsibilities

• Develop the machine-learning core of the STORM project.
• Explore tactile representations and predictive models for contact states.
• Evaluate algorithms on public benchmarks and real robotic setups.
• Collaborate across AI and hardware teams and publish results.

Skills

Python

PyTorch

Transformers

Diffusion models

World models

Multimodal sensing

Online adaptation

Education

Master’s degree in Computer Science / ML / AI / Robotics

Tools

ROS 2

Git

Job description

Aarhus University is inviting applications for a fully funded three-year PhD fellowship in Electrical and Computer Engineering as part of the STORM project. The position starts 01 March 2027 or later and sits in the Adaptive & Agentic AI Lab, with potential stays at collaborating institutions.

Candidates should hold a master’s degree in CS/ML/AI/Robotics, have strong Python/PyTorch skills, and be excited about Physical AI, tactile sensing, and online adaptation.