11 Humanities scholarships at Cranfield University in phd

Generative AI for the Next Generation of Manufacturing Automation Systems PhD

environment to streamline and optimise production processes. Manufacturing automation systems attempt to achieve enhanced human-machine interactions with a view to improving efficiency, productivity and the

The hybridity of polluted freshwaters - PhD

political economy of freshwater governance and freshwater pollution B. Establish the relationship between public perception and freshwater governance C. Identify how freshwater ecologies, physiologies and

Developing Ontologies for Digital Engineering and Manufacturing PhD

The ever-increasing use of data in real-world applications is a clear indication that we are moving into the era of Industry 5.0 where human-machine collaboration would be key to enable digital

Integrated indicators of ecological health for rivers based on riverbed biofilms - PhD

. The programme aims to develop a deeper, holistic understanding of the interactions between humans and the environment to support sustainable solutions to the environmental challenges affecting our river, lake

Transport Maps for New Age of Global Turbulence PhD

, navigate through challenges, and create dashboards to engage end-users. The academic areas of research include human-computer-interface (HCI), Geographic Information System (GIS), and Transport Systems

Enhancing Cybersecurity through Automated Real-Time Threat Response PhD

of cybersecurity, ensuring that organisations can safeguard their digital assets with agility and effectiveness, even in the face of dynamic and persistent security challenges. The importance of the project lies in

Aero-Engine Nacelle Aerodynamics And Optimisation PhD

This is a full funded PhD (fees and bursary) in propulsion system aerodynamics in collaboration with Rolls-Royce and EPSRC. The focus of the research is on the aerodynamic design and optimisation of aero-engine nacelles and the integration with the airframe. The project will investigate advanced...

Actuator PHM exploiting multi-physics digital twin (DT) and machine learning (ML) PhD

especially true in critical applications where a failure could result in significant financial loss, environmental damage, or harm to human lives. Moreover, the inclusion of advanced battery management and

Causal Machine Learning in Aerospace PhD

human language surprisingly well, yet fail remarkably at very simple logical reasoning. In this project, we will investigate the recent field of study of Causal Machine Learning, which aims to modify and

Autonomous multi robot system for fast and long traversal PhD

resource utilization, and future human colonization missions. Rugged terrains, extreme environments, and planetary robot/rover locomotion and capabilities (e.g., heavy payload, low speed, small operation