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University of Birmingham

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PhD Studentship in the Physics of Learning in Robotic Metamaterials University of Birmingham in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Funding is available for Home UK students for 42 months, covering fees and providing a stipend at UKRI rates. The current stipend is £21,805 per year. Strong international candidates must identify a viable international funding plan; international scholarship information is provided by the University of Birmingham.

Deadline

Jan 6, 2027

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Country

United Kingdom

University

University of Birmingham

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Keywords

Computer Science
Mechanical Engineering
Materials Science
Mathematics
Nonlinear Dynamics
Model Theory
Soft Matter Physics
Robotics
Bio-based Materials
Physics

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About this position

The University of Birmingham is offering a PhD studentship examining the physics of learning in robotic metamaterials, at the intersection of robotics, soft matter physics, mechanical engineering, applied mathematics and materials science.

The project investigates active mechanical metamaterials and distributed robotic systems: networks of sensors and actuators that communicate locally to produce collective functionality. Inspired by living systems such as starfish and bacteria, these mechanically soft networks distribute actuation, feedback and computation across their bodies rather than relying on a rigid, centrally controlled architecture.

The PhD researcher will lead work on robotic metamaterials that can adapt their dynamics to an environment after deployment. The research will develop and apply decentralized learning techniques to networks of active mechanical units, with the aim of shaping their dynamics and functionality. It will also explore fundamental links between network structure and function.

The project combines theoretical and experimental approaches. The researcher will capture the nonlinear dynamics of active networks through theory and numerical simulations, and design tabletop robotic experiments implementing learning algorithms in unpredictable environments. The work offers scope to tailor the project to the student’s interests and expertise while contributing to the development of bio-inspired robots that can operate without central control, adapt to changing environments and tolerate substantial damage.

The research environment is led by Dr. Jack Binysh and supported by the Binysh Lab at the University of Birmingham’s School of Engineering, where students can engage with metamaterials, soft matter, nonlinear dynamics, computational modelling and robotics.

Funding details

Funding is available for Home UK students for 42 months, covering fees and providing a stipend at UKRI rates. The current stipend is £21,805 per year. Strong international candidates must identify a viable international funding plan; international scholarship information is provided by the University of Birmingham.

What's required

Applicants should have an excellent MSc, MPhys, MEng or equivalent degree. Relevant backgrounds include physics, engineering, applied mathematics, computer science or related disciplines. Candidates should be curiosity-driven, interested in the intersection of materials and machines, and open to combining tabletop robotic experiments with simulations and theory. Interest or experience in robotics, bio-inspired materials, applied nonlinear dynamics, optimization, theoretical modelling or numerical simulations is relevant. The application must include a cover letter, CV with contact information for two references, degree transcript and a research proposal.

How to apply

Apply through the University of Birmingham Mechanical Engineering PhD portal using the advert’s Apply button. Specify the PhD title and main supervisor, Jack Binysh, and upload a cover letter, CV with two referees’ contact details, degree transcript and research proposal. Questions may be sent in your own words to Dr. Binysh at [email protected].

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