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-funded project led by Dr. Jagmohan Chauhan in an exciting area of embedded machine learning. The post will be based at the University of Southampton. You will be working with Dr. Jagmohan Chauhan (PI), a
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in Python, experience of machine learning with scikit-learn and the ability to work collaboratively. This position is ideal for someone who has recently or is about to finish their PhD and is
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University of Southampton within the Vision, Learning and Control (VLC) Group in Electronics and Computer Science, to work in the area of deep representation learning for audio data. The position is available
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collaborators and travel to academic conferences and project meetings to present the work. Successful candidates must hold (or close to completing) a PhD in a relevant subject. Knowledge and experience in
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the RAI UK programme. To be successful you will have: PhD in a field related to one of the following: Deep learning, Explainable AI, Causal reasoning. A strong publication record in AI venues (NeurIPS
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or an equivalent PhD. You will need a solid background in software development practices and good communication skills. A talent for technical problem solving is a must. You will come into contact with a wide range
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) Closing Date: Wednesday 24 April 2024 Interview Date: To be confirmed Reference: 2534723FP-R Research Fellow in Bayesian Deep Learning We are seeking applications for a research fellow at the University
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constantly ingests data from many sources, generates potential adverse scenarios, models and labels the scenarios, and uses new and existing machine learning methods to build intelligent and proactive risk
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with a global sediment database and use remotely sensed and other geographical data with machine learning/Bayesian Modelling techniques to establish drivers of global sediment flux. They will use
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candidate is required to have a PhD in operations research, mathematics, computer science or a related area. Experience in discrete optimization, demonstrated by at least one publication, is essential. Strong