or
Continue with FacebookLooking to list your PhD opportunities? Log in here.
We have 7 Machine Learning PhD Projects, Programmes & Scholarships in Cambridge
Machine Learning PhD Projects, Programmes & Scholarships in Cambridge
We have 7 Machine Learning PhD Projects, Programmes & Scholarships in Cambridge
Privacy and robustness in modern machine learning
AI_CDT_DecisionMaking. Details. The goal of this project is to investigate new methods to incorporate privacy and/or robustness in machine learning algorithms. Read more
Uncertainty-Aware AI Weather Forecasting
AI_CDT_DecisionMaking. Details. Weather forecasting is critical for a range of human activities including transportation, agriculture, industry, as well as the safety of the general public. Read more
Deriving causal factors from a large scale decision corpus
AI_CDT_DecisionMaking. Details. There is a huge amount of published literature describing tens of millions of evidence trials for various aspects of human endeavor, ranging from medicine to conservation to socioeconomic development. Read more
A foundation model for C elegans brain dynamics
AI_CDT_DecisionMaking. Details. Neuroscience techniques for interfacing with brains have dramatically improved in the last two decades. Read more
Understanding the optical signature of cancerous tissues (Early Cancer Institute Michael Cowan Non-Clinical PhD Studentship)
The Early Cancer Institute. The Early Cancer Institute at the University of Cambridge is the UK's only Institute dedicated to the early detection of cancer. Read more
Interpretable Self-Sustaining Systems
AI_CDT_DecisionMaking. Details. Software systems have become pervasive, impacting our society at different levels [1], from recommending the content we consume daily to enabling scientific discoveries in diverse domains. Read more
The Consistent Reasoning Paradox of intelligence in automated decision making: Computing the 'I don’t know’ function
AI_CDT_DecisionMaking. Details. This project is about how to make AI trustworthy in automated decision problems. However, any such AI will be subject to recent developments in the foundations of AI, that provide necessary criteria on how such trustworthy AIs (i.e., an AI that never answers incorrectly) must be built. Read more
- 1