50 maynooth-university-programmable-city-project PhD positions at Cranfield University
Sort by
Refine Your Search
-
cities, where benefits are unevenly distributed, and how design or management interventions could enhance resilience and equity. A key component of the research will be developing advanced spatial models
-
. The studentship is funded by the Leverhulme Trust through the Connected Waters Leverhulme Doctoral Programme. Urban blue networks, including rivers, canals and wetlands, are dynamic systems that shape how cities
-
world-class programmes, cutting-edge facilities, and strong industry partnerships, attracting top-tier students and experts globally. As an internationally recognised leader in AI, embedded system design
-
the Connected Waters Leverhulme Doctoral Programme, which is funding up to 18 PhD studentships to conduct multidisciplinary research on freshwater ecosystems, across two universities, Cranfield and Roehampton
-
Leverhulme Doctoral Programme, which is funding up to 18 PhD studentships to conduct multidisciplinary research on freshwater ecosystems, across two universities, Cranfield and Roehampton. The programme aims
-
systems. Other useful skills include scientific programming (e.g., Python or Matlab), control system design, and uncertainty modelling. Funding Sponsored by Sponsored by EPSRC and Cranfield University
-
covers fees and stipend for a home (UK) student with funding provided by the Leverhulme Trust through the Connected Waters Leverhulme Doctoral Programme. Options exist for PhD and Master + PhD routes
-
Manufacturing is one of eight major themes at Cranfield University. The manufacturing capability is world leading and combines a multi-disciplinary approach that integrates design, technology and management
-
the implications for urban decision-making and resilience. The PhD researcher will have flexibility in the design and implementation of the project, adjusting the focus based on their interests and the latest
-
. The developed new knowledge will assist performance designs, analysis, operations, and condition monitoring of sCO2 power generation systems. The project will be undertaken using the strong thermodynamic