Publisher
source

Carlos Mastalli

11 months ago

PhD Opportunity in Optimization, AI, and Robotics for Motor Intelligence Heriot-Watt University in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

No explicit funding details are provided. The opportunity is through the UK Centre for Doctoral Training in Dependable and Deployable AI for Robotics (CDT D2AIR), which typically offers fully funded PhD positions, but this is not confirmed in the post.

Deadline

Expired

Country flag

Country

United Kingdom

University

Heriot-Watt University

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Keywords

Computer Science
Mathematics
Artificial Intelligence
Optimal Control
Embodied Cognition
Optimisation
Robotics
Motor Skill

About this position

The Robot Motor Intelligence (RoMI) lab at Heriot-Watt University, in collaboration with the Edinburgh Centre for Robotics and The University of Edinburgh, is seeking a PhD candidate to work on optimization and AI for motor intelligence in robots. The research aims to combine optimization, control theory, and artificial intelligence to develop the next generation of embodied AI, enabling robots to achieve advanced motor skills. The position is associated with the UK Centre for Doctoral Training in Dependable and Deployable AI for Robotics (CDT D2AIR), a leading program in robotics and AI research.

Applicants should have a strong background in mathematics, optimization, control theory, AI, or robotics, and a passion for applying mathematical insights to real-world robotic movement and intelligence. While funding details are not specified, CDT D2AIR PhD positions are typically fully funded. Interested candidates should visit the CDT D2AIR website and consider reaching out to the lab or supervisor for more information.

Funding details

No explicit funding details are provided. The opportunity is through the UK Centre for Doctoral Training in Dependable and Deployable AI for Robotics (CDT D2AIR), which typically offers fully funded PhD positions, but this is not confirmed in the post.

What's required

Applicants should have a strong background in mathematics, optimization, control theory, artificial intelligence, or robotics. Passion for turning mathematical insight into movement and intelligence is essential. Degree requirements are not specified but a relevant undergraduate or master's degree is typically expected for PhD entry.

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Professors

Assistant Professor

University Name
Country flag

United Kingdom

Research Interests

Flight Dynamics

Control System

Robust Control

Optimal Control

Multi-robot Systems