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Marco Valentino

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PhD in Neurosymbolic World Models for Robotic Manipulation University of Sheffield in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded PhD position.

Deadline

Jan 13, 2027

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Country

United Kingdom

University

University of Sheffield

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Keywords

Computer Science
Electrical Engineering
Information Technology
Mathematics
Artificial Intelligence
Natural Language Processing
Robotics

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About this position

Fully funded PhD opportunity at the University of Sheffield in Neurosymbolic World Models for Robotic Manipulation, starting in October 2027.

This multidisciplinary project spans the School of Computer Science, the School of Electrical and Electronic Engineering, the Centre for Machine Intelligence, Sheffield NLP, and Sheffield Robotics. The topic sits at the intersection of Computer Science, Robotics, Electrical Engineering, and Artificial Intelligence, with a strong focus on neurosymbolic methods, world models, and robotic manipulation.

The post is supervised by Marco Valentino and Amir Ghalamzan. It is described as a fully funded PhD position, making it suitable for applicants seeking a funded doctoral research opportunity rather than a self-funded place.

Deadline: 17:00 GMT on 13 January 2027.

Interested candidates should review the full advert on FindAPhD using the provided link and follow the application instructions there. The post does not specify detailed eligibility criteria in the text, so applicants should check the official listing for entry requirements, funding terms, and submission materials.

Funding details

Fully funded PhD position.

What's required

Applicants should be interested in a highly multidisciplinary PhD spanning neurosymbolic AI, world models, robotic manipulation, NLP, and machine intelligence. The post does not list specific degree, GPA, or language-test requirements, but it is a PhD opening and candidates should be prepared to work across computer science and electrical/electronic engineering.

How to apply

Read the full advert via the FindAPhD link for details. Submit an application before 17:00 GMT on 13 January 2027. Follow the linked page for the official application instructions.

More information can be found here

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