19 machine-learning-"https:"-"https:"-"https:"-"ISCTE-IUL" positions at University of Surrey
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Autonomous vehicles (AVs) are advancing rapidly, yet their safety assurance remains limited by the opacity of modern AI systems. Current machine learning–based decision pipelines often function as
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Python and familiarity with LLM frameworks. Experience with machine learning, natural language processing, or time-series modelling. A strong interest in applying AI to engineering and energy-system
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structures, and developing secure API integrations Programming in languages such as C# and Python Solving Data Science and analytics challenges including applications of Machine Learning and Artificial
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(CVSSP) is internationally recognised leader in audio-visual machine perception research. With a diverse community of more than 150 researchers, we are one of the largest audio and vision research groups
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of conventional and CNC machine tools, together with an understanding of Health and Safety legislation in a workshop setting, is essential. Degree Apprenticeship Route: We are also pleased to offer this role as
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(early evenings and weekends) but shift patterns are provided well in advance. You should be confident in your use of Microsoft packages such as Outlook, Word, Excel and Teams with the ability to learn
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working knowledge of relevant software tools (e.g.Linux, python, C/C++ & html programming and PC computer networking) Experience of CubeSat mission operations covering mission development from concept
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service standards. This is a role for an exceptionally organised individual with excellent attention to detail and the ability to prioritise to meet often conflicting deadlines. The ability to learn quickly
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. The Centre for Vision, Speech and Signal Processing (CVSSP) is an International Centre of Excellence for research in Audio-Visual Machine Perception. The Surrey Institute for People Centred AI (PAI) builds
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and people with learning disabilities. Successful candidates will: Work effectively as part of a team Be committed to developing trainee clinical competencies Ideally contribute to the programme’s