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We have 112 robotic PhD Projects, Programmes & Scholarships

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robotic PhD Projects, Programmes & Scholarships

We have 112 robotic PhD Projects, Programmes & Scholarships

15 Fully Funded PhD Scholarships in Engineering, Informatics and Cognitive Science

Outstanding applicants are invited to apply to our range of 15 fully funded scholarships. For September 2024 entry, these scholarships are in the fields of Engineering, Informatics, and Cognitive Science. Read more

Discovery of Functional Inorganic Materials for Net Zero Applications using High-Throughput Synthesis

This project will use high-throughput solid state synthesis methods developed in the group (Hampson 2023) to accelerate the discovery of new functional inorganic (oxide) materials for applications towards net zero technologies e.g. Read more

Laser System Design for Digital Manufacturing

Laser System Design for Digital Manufacturing. The laser resonator in defence& security systems dictate the system design and is usually the highest cost component of the system. Read more

Computationally driving automated functional materials discovery for net zero technologies with machine reasoning and decision-making

This project, suited to a student with a Computer Science or Mathematics background, will formally define the nature and consequences of the decisions that need to be made in the automated workflow and identify both the optimal combination of existing methods and tools to accelerate discovery and the gaps in capability that currently exist. Read more

High-throughput first-principle simulations of charge transport in organic semiconductors

This project focuses on application of first-principle, fully quantum simulation methods such as Hybrid Monte-Carlo to study charge transport in a vast class of quasi-2D molecular organic semiconductors (rubrene, pentacene, and >4000 other materials). Read more

High-throughput solid state synthesis of functional inorganic materials for net zero applications

The discovery of new functional materials to drive technologies for the net zero transition, such as batteries, solar absorbers, rare-earth-free magnets for wind power and a myriad of other unmet needs, is a scientific and societal grand challenge. Read more

Interpretable Reinforcement Learning [Self-Funded Students Only]

  Research Group: Visual Computing
Reinforcement learning (RL) enables agents to learn optimal policies by interacting with the environment. The agent collects experience from trial-and-error and optimises its action rules from the environment feedback. Read more

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