77 machine-learning-phd "The Art Institutes" positions at UNIVERSITY OF SOUTHAMPTON in United Kingdom
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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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listeners. We are seeking candidates with a Ph.D. (either awarded or nearing completion) or equivalent professional qualification and experience in Machine Learning, Statistics, or a related field, who have
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term basis for 36 months due to funding restrictions. As part of your role, you will: Develop novel Bayesian machine learning approaches for psychoacoustic modelling. Publish your findings at top-tier
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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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with a Ph.D. (either awarded or nearing completion) or equivalent professional qualification and experience in Machine Learning, Statistics, or a related field, who have in-depth knowledge in and
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for the project: “For the FATES of Africa: A co-developed pipeline for responsible AI in online learning across Africa”. This project is driven by an equitable partnership across sectors and disciplines
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: “For the FATES of Africa: A co-developed pipeline for responsible AI in online learning across Africa”. This project is driven by an equitable partnership across sectors and disciplines, with academic world
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analysis, human centric artificial intelligence, machine learning or large data management. We are seeking candidates whose expertise spans these backgrounds with a track record and demonstrated curiosity
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strategic investment by UKRI, and part of the School of Electronics and Computer Science. The role will involve a core focus on AI research (machine learning, multi-agent systems, causal AI, optimisation
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the post-doctoral Research Fellow with the last months of recruitment and assessment for the project as well as writing up of the papers. The candidate will have a PhD* or have submitted their thesis in