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We have 55 reinforcement PhD Projects, Programmes & Scholarships

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reinforcement PhD Projects, Programmes & Scholarships

We have 55 reinforcement PhD Projects, Programmes & Scholarships

Optimising dynamic scheduling in smart manufacturing through reinforcement learning PhD

This PhD aims to develop an adaptive self-organising solution for dynamic scheduling in job-shop manufacturing. The research will introduce an innovative approach that integrates deep reinforcement learning and multi-agent systems to rapidly respond to emergencies and disruptions. Read more

Optimizing Anchor Layouts in Seismic Reinforcement of URM Walls

Unreinforced masonry (URM) load-bearing walls were commonly used in historic buildings but are weak in shear and vulnerable to cracking and damage during seismic events. 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

Through-thickness reinforcement compatible conductive polymer filaments PhD

Composite through-thickness reinforcement techniques are typically used to bolster through-thickness behaviour, composite’s primary weakness, but the integration of through-thickness elements for embedding electrical and thermal functionality is a fast-growing area of research. Read more

Three-dimensional hybrid composites for repair and recycling PhD

This PhD research opportunity focuses on the development of self-healing three-dimensional metal-composite hybrid materials. These will use through-thickness reinforcement to embed metallic elements, acting as a means of targeted heat introduction, to activate re-processable matrices like thermoplastics or vitrimers. Read more

Distributed active reinforcement learning for multi-agent planning and control

With the rapid development of network-connected systems, coordination and cooperation among the subsystems/agents have become increasingly important and powerful in many control and robotics applications. Read more

Implement reinforcement learning for robots in hardware to handle the reality gap

  Research Group: Intelligent Systems and Robotics
In the Autonomous Robotic Evolution project robots for different types of challenging environments are autonomously designed and fabricated with the Robot Fabricator. Read more
Last chance to apply

Native tree reinforcement of slope stability during establishment at the A83 Rest and Be Thankful

This 4-year project, funded through Forest Research, aims to evaluate mechanical and hydrological mechanisms of slope stabilisation during the ongoing establishment of native tree species at A83 Rest and Be Thankful, an area prone to extensive and disruptive debris flows that are widely reported in the media. Read more

SLAM for UAV navigation in GPS and vision denied environments using deep reinforcement learning.

The aim of this project is to develop an UAV system capable of providing real time navigation including 3D mapping reconstruction, path planning and obstacle avoidance in GPS and vision denied environments. Read more

Optimal Design of Fibre Reinforced Composite Pipes and Umbilicals

These projects are open to students worldwide, but have no funding attached. Therefore, the successful applicant will be expected to fund tuition fees at the relevant level (home or international) and any applicable additional research costs. Read more

Collaborative probabilistic machine learning

We develop probabilistic machine learning methods for helping other agents make better decisions, ultimately human agents in ongoing applications in science and engineering. Read more

Development of a performance test method to evaluate effectiveness and service life of galvanic anodes used as part of repair systems and cathodic protection in reinforced concrete structures

One of the most challenging durability issues and causes of defects in reinforced concrete infrastructures is the corrosion of steel reinforcement, which leads to rust formation, cracking, spalling, delamination and degradation of structures (Popov, 2015 and Michael et al, 2016). Read more

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