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Universidad Pontificia Comillas

Just Landed

Two Fully Funded PhD Positions in Learning- and Vision-Based Robot Trajectory Planning Universidad Pontificia Comillas in Spain

Degree Level

PhD

Field of study

Computer Science

Funding

Two fully funded PhD positions are available. The post does not specify the stipend amount, tuition coverage details, or other funding conditions.

Country flag

Country

Spain

University

Universidad Pontificia Comillas

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Keywords

Computer Science
Artificial Intelligence
Computer Vision
Robotics
Autonomous System
ML

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About this position

The Trustworthy Robotics and AI Lab (TRAIL) is opening two PhD positions focused on learning-based and vision-based trajectory planning for robots.

The research explores how robots can safely, efficiently, and intelligently navigate complex, dynamic environments. PhD researchers will work at the intersection of machine learning, computer vision, visual perception, trajectory planning, and autonomous systems, contributing to the development of next-generation robotic systems.

The project offers an opportunity to investigate advanced approaches for robot motion and navigation planning in settings where robots must interpret visual information, respond to changing conditions, and operate reliably. The work is situated within TRAIL and its research environment at Universidad Pontificia Comillas.

The positions are fully funded and intended for motivated researchers interested in robotics, artificial intelligence, machine learning, and computer vision.

Funding details

Two fully funded PhD positions are available. The post does not specify the stipend amount, tuition coverage details, or other funding conditions.

What's required

Applicants should be highly motivated students who are passionate about the intersection of machine learning, computer vision, and robotics. Specific degree, language, GPA, and documentation requirements are not stated.

How to apply

Send your CV by email to [email protected]. Review the team and research information at the linked lab page before applying.

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