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We have 144 operations PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
operations PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
We have 144 operations PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
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The Protection Offered by UN Peace Operations
United Nations (UN) peace operations are increasingly deployed to challenging situations of ongoing conflict with lofty expectations of being able to stabilise conflict zones, achieve national reconciliation, and rebuild state legitimacy. Read more
Tailored Digital Operations Strategies for Production Planning in Materials Handling
Standard solutions exist for Industry 4.0 compliant systems in production planning however, their introduction and efficient application require significant customisation to align with systems and practices that represent years of development within companies which are core to their operations. Read more
Robotic Control of Manufacturing Operations in the Aerospace Industry
The use of robotic manipulators in critical aerospace manufacturing operations such as drilling and fastening has been common practise for many years. Read more
Trusted AI for Safe Stop and Search
This project is part of a unique cohort based 4-year fully-funded PhD programme at the. UKRI Centre for Doctoral Training in Safe and Trusted AI. Read more
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Noise impacts on wildlife from Unmanned Aerial Vehicle (drone) operations
This exciting PhD opportunity integrates applied ecology and acoustics to quantify and minimise noise impacts on wildlife from Unmanned Aerial Vehicle (drone) operations. Read more
Use of Advanced Robotics to augment Railway Maintenance and Operations
Reference number. SCEBE-20-023-CHSF. Background. It is recognised that advanced robotics will have an increasingly important part to play in the competitive future of Railway Maintenance and operations, and this work builds on the previous successful published work at GCU. Read more
INDIGO - INtegration and DIGital Demonstration of Low-emission Aircraft Technologies and Airport Operations
INDIGO is a H2020 European Research project, in collaboration with a number of universities and research institute across Europe. Read more
Human factors for digital transport operations
Transport control environments in rail, highways / cities and ports are now underpinned by a range of digital sensors, and an array of different inputs and outputs (eg CCTV, social media, direct feeds into in-vehicle control systems). Read more
Machine learning solutions for computer network operations
We invite driven and enthusiastic PhD candidates to work in computer network operations and machine learning, in the Wolfson School of Mechanical, Electrical and Manufacturing Engineering at Loughborough University. Read more
Predictive Emergency Service Operations Planning [Self-Funded Students Only]
Research Group:
Data and Knowledge Engineering
Aims. The objective of this project is the exploration of the frontier between demand forecasting and operations planning to devise predictive, intelligent, and adaptive strategies in the context of emergency services (e.g., policing, fire services, medical services). Read more
Optimisation of Offshore Wind Farm Placement and Operation Using AI and Ocean Forecasting
Exciting PhD Opportunity in AI-Based Ocean Forecasts for Marine Operations at the Strathclyde Centre for Doctoral Training (SCDT). Read more
Investigation of business models for the provision of vessel battery charging facilities at ports
This PhD project is part of the. CDT in Sustainable Electric Propulsion. The successful PhD student will be co-supervised by academics from within the. Read more
Routing and Scheduling Movements at Airports Considering Interdependence and Intermediate Holding
Project Details. Balancing the trade-off between increasing demand of airport capacity and tighter environmental regulations has been recognised by the European Commission as one of the grand challenges. Read more
Reinforcement learning based discovery of numerical algorithms
Deep neural networks have recently emerged as promising contenders for efficiently solving partial differential equations (PDEs) and ordinary differential equations (ODEs). Read more
Developing methods for Big Data capture in support of the Digital Twin for Investment Casting Shelling Operations
The manufacture of single crystal turbine components via investment casting is critical to the efficiency of the modern jet turbine. Read more