Probabilistic Machine Learning Researcher
1 month ago
The International Society for Bayesian Analysis is seeking a Probabilistic Machine Learning Researcher to join our team.
Key Research AreasWe are focused on the following areas of probabilistic machine learning:
- Bayesian Inference
- Reinforcement Learning and Inverse Reinforcement Learning
- Automatic Experimental Design
- Multi-Agent Learning
- Bayesian Deep Learning
- Amortized Inference
- Human-in-the-Loop Learning
- User Modelling
- Collaborative AI
- Privacy-Preserving Learning
- Likelihood-Free Inference
This research is part of our efforts to enhance machine learning capabilities and is funded by the UKRI Turing AI World-Leading Researcher Fellowship programme.
As a research fellow, you will be part of the Manchester Centre for AI Fundamentals and work with excellent teams in various fields, providing opportunities for application in personalized medicine, synthetic biology, digital twins, and more.
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