10 Humanities positions at Cranfield University in phd

Advancing Sustainable Manufacturing through AI-supported Design for Dynamic Management PhD

Industry 5.0 goals. Expect impactful insights into advanced technology integration and human expertise, driving sustainability through improved system performance. Students benefit from collaboration

Combinatorial artificial intelligence for defence applications PhD

are 'explainability' and trust - as the machines learn, they are based upon statistical outcomes on large data sets, rather than human intuitive information.  Another problem lies with the fragility of the systems

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

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

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

Digital image correlation for determining material’s constitutive properties PhD

The research in this doctoral opportunity will investigate the relationship between material elastic and thermal properties by using high resolution digital imaging under dynamic loads. Digital