14 master "Times Higher Education" scholarships at Cranfield University in United Kingdom

System modelling for human machine (autonomous system) teaming in uncertain environments PhD

platforms. Existing digital human models are limited, often focusing only on basic ergonomic analysis and lacking in cognitive behaviour representation. The primary goal of this project is to develop a novel

Combinatorial artificial intelligence for defence applications PhD

as Third Wave AI as initially described by DARPA) is the term that references the next foreseen advances within Artificial Intelligence.  This stems from the two main styles of AI development over

The hybridity of polluted freshwaters - PhD

, Rest of world Reference numberSWEE0248 Entry requirements An ideal candidate for this position will have a first or second class UK honors and Masters degree in Natural Resource Management, Anthropology

Design of net zero strategies and best practices for manufacturing and service organisations (research and experimentation in complex scenarios with competing priorities) PhD

) in the context of sustainable, resource-efficient manufacturing. To meet these objectives, the main research strategies are: To enhance operations efficiency (smart) by researching the topics

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

years. In total the award will fund up to 18 full time PhD Scholarships, including three scholarships for international applicants, 12 home (UK) PhD scholarships, and three Master's plus PhD scholarships

Future Aircraft Communications and Data Management for Flight Dynamics Predications PhD

connectivity and flight dynamics, incorporating Artificial Intelligence (AI) and Machine Learning (ML) to develop innovative prediction mechanisms. The primary goal of this project is to design advanced

Developing Ontologies for Digital Engineering and Manufacturing PhD

and effective framework development. The main outcomes encompass feedback and reflection on the ontology performance, scalability, reusability and enhanced FAIR evaluation. Cranfield University is

Design and Assessment of Carbon Fibre Composite Joints PhD

controls to the manufacturing procedure and environment, joint design, inclusion of some surface modification and control of the adhesive cure cycle. The primary aim of this project is to assess

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

, and reliable operation in diverse environments. This involves two main goals: 1) Optimisation of the Battery Management System (BMS): The aim is to implement an accurate BMS that effectively monitors

CFD-FEA Combined Thermal-Fluid-Mechanical Modelling for Defect Control in Additive Manufacturing PhD

manufacturing, specifically focused on directed energy deposition process utilising metal wire as the primary feedstock. Within this exciting realm, through CFD-FEA combined thermal-fluid-mechanical modelling, we