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We have 15 Manufacturing Engineering (e learning) PhD Projects, Programmes & Scholarships

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Manufacturing Engineering (e learning) PhD Projects, Programmes & Scholarships

We have 15 Manufacturing Engineering (e learning) 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

Phased array fibre lasers with machine learning

Supervisory Team: Prof Johan Nilsson, Dr William Kerridge-Johns. Project description. This project combines state of the art optical fibre laser amplifiers with machine learning control to produce next-generation lasers. Read more

Machine Learning Model for Soft Robotic Gripper

Soft robotics are considered as a part of Robotics 2.0 which is related to the real-world environment with low predictability, low programmability, creativity, adaptation, and soft interaction. Read more

Agent-based cyber-physical production systems for Industry 4.0

  Research Group: Applied Computing
This project aims to develop novel methods and software tools for the implementation of highly adaptive multi-agent systems for manufacturing control, applying plug-and-produce technology to cyber-physical systems. Read more

Design and Simulation of Adaptive Product-Service System for Distributed Manufacturing

Product-service systems (PSS) aim to deliver value-in-use through integrated product and service solutions. Underpinned by sustainability research, PSS intend to produce a balanced approach to production and consumption. Read more

Novel Multi-axis MEMs Force Sensors for Robotic Applications

  Research Group: Intelligent Systems and Robotics
Robots heavily rely on sensors to interact with their environment. Among these sensors, multi-axis force sensors play a pivotal role in enabling robots to safely interact with objects. Read more

Sustainable Recycled Textiles for Engineering Applications

Worldwide demand for the apparel industry keeps growing while triggering an environmental impact on human health. The textile industry accounts for around 10% of global greenhouse gas emissions. Read more

Developing a Systematic Food Texture Characterisation Methodology for Advanced Manufacturing

Food texture is related to the way our senses perceive and feel the rheological and mechanical properties of edible substances. For example, a potato chip is crispy; an apple is crunchy; butter is soft; bread is firm; candy is hard; yogurt is smooth; cream is thick; cake is moist, and honey is sticky. Read more
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