Sort by
Refine Your Search
-
with: • Experience with programming (Python, MATLAB), • background in aerospace, computer science, robotics, or electrical engineering graduates, • hands on skills in
-
autonomous avionics for hybrid-electric and more-electric aircraft. AI-Enhanced Power Electronics for Electrified Transport – Optimize power converters, battery management, and energy efficiency in electric
-
and Britain are world leaders and major exporters. This high technology global industry is worth more than £30 billion per annum. Current challenges are arising from the need to address environmental
-
Tomography (ToF-PET) offers vital functional and molecular insights for improved cancer staging, its current capabilities are often limited by the timing resolution and sensitivity of existing detector
-
Applications are invited for a fully funded PhD studentship in the area of autonomous systems (in particular, automated aircraft inspections using ground platforms) within the Faculty of Engineering
-
AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
) in a relevant discipline such as aerospace engineering, mechanical engineering, electrical engineering, computer science, applied mathematics, or a closely related field. Experience or interest in
-
cost-effective way to dramatically increase the performance of launch vehicles. Electric orbit raising kick stages have not seen widespread use due to the low thrust of electric propulsion (EP), leading
-
research opportunity focuses on advancing large-scale additive manufacturing using metal wire as feedstock and electric arc as the heat source. The project aims to develop an innovative and efficient method
-
Organisation Cranfield University Faculty or Department Faculty of Engineering and Applied Sciences Based at Cranfield Campus, Cranfield, Bedfordshire Hours of work 37 hours per week, normally
-
This self-funded PhD opportunity is open to both UK and international students with a strong background or willingness to develop expertise in offshore engineering, human factors, digital twin