Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Fully funded Ph.D. opportunity in Aerospace AI. Sponsored by EPSRC and BAE Systems covering tuition, fees and a bursary of up to £19,569 (tax free). Combinatory Artificial Intelligence (also known
-
detection offers opportunities for early intervention and better patient outcomes. With the help of artificial intelligence, researchers can detect minute structural changes that may be indicative of early
-
such. Through this PhD opportunity researchers will take the opportunity to engage with companies in our network and beyond to better understand where the knowledge and practice gap is and from
-
, natural sciences, engineering, computational sciences or other scientific backgrounds. Candidates with strong mathematical, machine learning, artificial intelligence or modelling skills are welcome
-
work here About Aerospace . Our reputation for leading in the field of autonomy and AI, advanced air mobility, ATM/UTM, autonomous vehicle systems, applied artificial intelligence and control engineering
-
, applied artificial intelligence and control engineering has been established through more than thirty years of research into this field. We work in partnership with industrial clients and research
-
The application of emerging technologies such as artificial intelligence, digital twin, blockchain, and the internet of things are growing fast, and their integration with complex manufacturing
-
automated security systems that can detect and respond to dangers in real-time. With this opportunity, you will explore into cutting-edge technologies such as artificial intelligence, machine learning, and
-
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
-
learning from in-service vehicle fleets and predicting remaining useful life. Applications of artificial intelligence and computer science to battery state estimation. Reduced-authority control of hybrid