Fully Funded PhD in Physical AI for Robotic Manipulation

Technical Sciences - Institut for Electro- og Comp; Aarhus; On-site; DKK 391,000 - 580,000; Full time

Job summary

Aarhus University invites applications for a fully funded three-year PhD fellowship in the Electrical and Computer Engineering programme. The project STORM aims to give robotic foundation models a sense of touch, enabling safe real-time corrections during manipulation.

The PhD focuses on learning from tactile interfaces, predictive contact dynamics, and safe policy adaptation, with potential stays at SDU and collaborations across ML, robotics, and hardware teams.

Qualifications

• Masters degree in Computer Science, Machine Learning, Artificial Intelligence, Robotics, Electrical Computer Engineering, or related quantitative field, completed or nearing completion before start date.

Responsibilities

• Develop the machine-learning core of STORM and contribute to three scientific questions related to tactile perception and adaptation.
• Explore contact representations from tactile interfaces and predictive models for short-horizon evolution under a policy.
• Contribute to safe, parameter-efficient adaptation of pre-trained policies with attention to real-world robotic setups.

Skills

Python

PyTorch

Transformers

World models

Tactile sensing

Education

Master's degree in CS/ML/AI/Robotics/EE

Tools

ROS 2

Job description

Aarhus University invites applications for a fully funded three-year PhD fellowship in the Electrical and Computer Engineering programme. The project STORM aims to give robotic foundation models a sense of touch, enabling safe real-time corrections during manipulation.

The PhD focuses on learning from tactile interfaces, predictive contact dynamics, and safe policy adaptation, with potential stays at SDU and collaborations across ML, robotics, and hardware teams.