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University of Bristol

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PhD in Anthropomorphic and Non-Anthropomorphic Design Principles for Adaptive Robots University of Bristol in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Competition funded PhD project for students worldwide. The post indicates a funded PhD opportunity, but no stipend amount, tuition coverage details, or other financial figures are provided.

Deadline

Dec 31, 2026

Country flag

Country

United Kingdom

University

University of Bristol

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Keywords

Computer Science
Mechanical Engineering
Adaptive Systems
Human-robot Interaction
Soft Robotics
Robotics
Mechatronics

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About this position

PhD opportunity at the University of Bristol in Robotics, Mechanical Engineering, and related computational methods.

This project, hosted by the School of Engineering Mathematics and Technology, explores anthropomorphic and non-anthropomorphic design principles for adaptive robots. The research focuses on novel robotic morphologies using modularity, reconfigurability, detachability, compliant mechanisms, and unconventional joint architectures. The project combines soft robotics, mechanical design, simulation, and human-robot interaction to develop robots that are flexible, robust, and adaptable to diverse environments.

Potential directions include multibody and FEA simulation pipelines, hybrid rigid-soft architectures, variable-topology linkages, additive manufacturing, soft lithography, moulding, topology optimization, reduced-order modelling, and benchmarking adaptive robotic platforms for manipulation, locomotion, and physical interaction.

Eligibility: applicants should hold a Master's degree, or be near completion, in mechanical engineering, electronics, computer science, or a relevant field. A strong background in one or more of human-robot interaction, hardware development, soft robots, computer vision, sensor fusion, machine learning, or physics simulation is preferred. Hands-on robot design experience, publications, teaching assistance experience, and strong communication skills are desirable.

Funding: competition funded PhD project for students worldwide. No stipend amount or detailed funding package is stated in the post.

Deadline: applications are reviewed as received; the page also shows a project date of 31 December 2026.

How to apply: register your interest on the FindAPhD listing. The university will respond directly after you submit your enquiry.

Funding details

Competition funded PhD project for students worldwide. The post indicates a funded PhD opportunity, but no stipend amount, tuition coverage details, or other financial figures are provided.

What's required

Applicants should hold a Master's degree, or be near completion, in mechanical engineering, electronics, computer science, or a relevant field. Strong background in at least one of human-robot interaction, hardware development, soft robots, computer vision, sensor fusion, machine learning, or physics simulation is preferred. Hands-on robot design experience, previous conference or journal publications, teaching assistance experience, and good communication skills are highly desired.

How to apply

Register your interest through the FindAPhD page. The university will respond directly after you submit your enquiry. Applications are reviewed as received, so early contact is advisable.

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