Overview
The project will be focused in the aerospace domain with applications ranging from unmanned aerial vehicles, through helicopters, electric vertical take-off and landing aircrafts, robotics and automation, to space and planetary exploration among many others.
Features
- The Causal Machine Learning in Aerospace research at Cranfield University will involve the development of new techniques, comprehensive modelling and software implementation, followed by the construction of experimental prototypes to validate and demonstrate the results.
- This project is initially directed to self-funded PhD candidates, but possible sources of funding may be available, so we encourage all interested candidates to contact us.
Programme Structure
Curriculum:
- The explosive development of the machine learning field in recent years is limited by a problem intrinsic to its own design.
- Current machine learning techniques are built to learn how to perform tasks by identifying patterns and correlations by repeatedly observing how to solve those tasks.
- This implies that these techniques are by design oriented towards imitation rather than reasoning. In other words, they are ineffective in understanding that correlation does not imply causation.
- This design flaw is clearly exemplified by recent large language models such as ChatGPT that are able to mimic human language surprisingly well, yet fail remarkably at very simple logical reasoning.
- In this project, we will investigate the recent field of study of Causal Machine Learning, which aims to modify and augment Machine Learning by using Causal Analysis techniques.
Key information
Duration
- Full-time
- 36 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
Delivered
Disciplines
Machine Learning View 18 other PhDs in Machine Learning in United KingdomAcademic requirements
English requirements
Student insurance
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- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
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Other requirements
General requirements
- Applicants should have a first or second class UK honours degree or equivalent in a related discipline.
- This project would suit candidates with a sound background in engineering, physics, computer science, or related disciplines.
Tuition Fee
-
International
19675 GBP/yearTuition FeeBased on the tuition of 19675 GBP per year during 36 months. -
National
4712 GBP/yearTuition FeeBased on the tuition of 4712 GBP per year during 36 months.
Living costs for Cranfield
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find PhD's scholarship opportunities for Causal Machine Learning in Aerospace.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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