39 evolution "https:" "https:" "https:" "CMU Portugal Program FCT" PhD positions at Cranfield University
Sort by
Refine Your Search
-
This PhD at Cranfield University explores the development of resilient, AI-enabled electronic systems capable of detecting faults and autonomously recovering from failures in real time. The project
-
Vehicle Health Management (IVHM) Centre is a major collaborative venture at Cranfield, started in 2008, with funding from the East of England Development Agency (EEDA); a consortium of core industrial
-
to the development of digital twin technologies for sCO2 power generation systems. The Centre for Propulsion and Thermal Power Engineering has a key focus and a proven track record on gas turbine performance, gas path
-
AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
life. It also provides valuable skills in AI, materials testing, and data analysis. In addition to its technical innovation, this project offers a range of unique personal and professional development
-
for personal development and training courses. What will the student gain from experience (transferable skills, employability): Successful candidates will develop important technical skills in spacecraft
-
to slower, longer-term, evolution (e.g. vegetation and morphological change). For some, blue spaces may be perceived as ‘wasted space’, whilst highly engineered systems may be perceived as natural
-
the intersection of ecology, machine learning, and sustainable land management, the research will combine field data collection, deep learning model development, and stakeholder co-design to support biodiversity
-
to ensuring safe, reliable, and high-performance communications. The development of 6G based AI networks with integrated TN and NTN infrastructures provides new opportunities for UAV tracking
-
GNSS alone leaves systems vulnerable to interference, spoofing, or outages, particularly in dense urban environments. The development of 6G networks with integrated TN and NTN infrastructures provides
-
how individuals make movement and life-history decisions in dynamic agricultural landscapes. A baseline model and dynamic energy budget framework already exist, but require development to incorporate