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data PhD Projects, Programmes & Scholarships

We have 1,966 data PhD Projects, Programmes & Scholarships

Last chance to apply

Wetland recovery from extreme events

This project is part of the NERC-funded Centre for Doctoral Training, ECOWILD. For more details, and for a full list of projects offered under this programme, please visit: https://ecowild.site.hw.ac.uk/. Read more

Topological Metamaterials for Optical Wave Control

Supervisory Team: Dongyang Wang, Nikolay Zheludev . Project Description. The Project. Topological photonics is a rising field of research that implements topological ideas with optical materials. Read more

Multimodal Control of Prosthetic Limbs/Paralysed Muscles

This project aims to enhance the quality of life of patients with amputees, spinal cord injury, stroke and brain injury by developing advanced control strategies for artificial limbs. Read more
Last chance to apply

Mechanisms of control of 3D genome organisation

We have an exciting opportunity for exceptional PhD students to join us in a world-class research environment. We can offer a funded 3.5-year PhD scholarship open to UK and Overseas applicants. Read more
Last chance to apply

Reconfigurable Antennas for Computational Microwave Imaging

Conventional microwave imaging methods involve variants of synthetic aperture radar and phased arrays. These techniques offer significant drawbacks in terms of key system metrics, including data acquisition speed, imaging resolution, and hardware-layer complexity. Read more

Chess as a platform for inherently interpretable AI research [SELF-FUNDED STUDENTS ONLY]

About the Project. The way in which AI systems make decisions is often different from the approach a human takes. Thus, the operation of an AI system may be difficult to interpret and learn from, and poses the problem of user trust. Read more

Chess as a platform for inherently interpretable AI research

About the Project. The way in which AI systems make decisions is often different from the approach a human takes. Thus, the operation of an AI system may be difficult to interpret and learn from, and poses the problem of user trust. Read more

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