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candidates must hold (or close to completing) a PhD in a relevant subject. Knowledge and experience in computer vision is required. Experience of efficient ML techniques, edge AI hardware platforms, low-power
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the accuracy and efficiency of medical image analysis, contributing significantly to the creation of innovative diagnostic solutions. We are looking for candidates with a strong background in computer science
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successful you will have a PhD (or within six months of completion) or equivalent professional qualifications and experience in Physical Chemistry or Chemical Physics and a demonstrable understanding and
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this through switching off non-essential electrical equipment or using the recycling facilities. Discover how the University of Southampton is investing in its people and key impact themes of AI and Data Science
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Reference: 2531923FP-R We are seeking applications for a research fellow at the University of Southampton within the Vision, Learning and Control (VLC) Group in Electronics and Computer Science, to work in
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also oversee the assembly and characterisation of integrated electronic and silicon photonic devices towards state of the art, high-speed photonic data transmission. The EPSRC funded project is led by
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Chris Allgrove from lngenium and Professor Richard Guest from the School of Electronics and Computer Science at the University of Southampton, we are looking for someone with a PhD (or near completion) in
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Poletti, [email protected] Discover how the University of Southampton is investing in its people and key impact themes of AI and Data Science, Sustainability and Resilience, Decarbonisation and
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qualifications and experience in materials science or a relevant discipline. The title of Research Fellow will be applied upon successful completion of the PhD. Prior to the qualification being awarded the title
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Electronics and Computer Science, to work in the area of Bayesian deep learning. The position is available on a fixed term basis for 36 months due to funding restrictions. You will be working under