14 Engineering-"https:"-"https:"-"https:"-"UCL"-"UCL" positions at Swansea University
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and UK’s Net-Zero 2050 Commitment. N.B. Passionate candidates for Sustainability, Electrochemistry, Renewable Energy Storage, Mechanical Engineering, Materials and Science Engineering, Composites
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About The University Swansea University is a research-led university that has been making a difference since 1920. The University community thrives on exploration and discovery and offers the right balance of excellent teaching and research, matched by an enviable quality of life. Our stunning...
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Are you passionate about artificial intelligence, data analytics, and cutting-edge engineering applications? Join our interdisciplinary research team and contribute to the future of Non-Destructive
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semiconductor silicon has powered the last 70 years of technology, new and more advanced semiconductors such as compound and molecular semiconductors are creating incredible new opportunities in areas such as
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of health records across the UK's most secure data havens (e.g., SAIL, UK LLC, DataLoch), with built-in research quality safeguards. This is a systems engineering role, not a research position. You'll
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and encouraged for this application. Where to apply Website https://www.swansea.ac.uk/postgraduate/scholarships/research/engineering-epsrc-… Requirements Research FieldEngineeringEducation
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industries, including: - Aerospace: Faster, more efficient design and real-time condition monitoring for safer aircraft and spacecraft. - Civil Engineering: Real-time health monitoring for bridges and
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technology leader Thales, to strengthen the cyber resilience of interconnected systems, including those in transport. Backed by £1 million in funding from the EPSRC Prosperity Partnership part of UK Research
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technology leader Thales, to strengthen the cyber resilience of interconnected systems, including those in transport. Cyber resilience concerns a system's ability to continuously deliver intended outcomes
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, you will: Engineer data pipelines that transform billions of health records into ML-ready formats while preserving data provenance and epidemiological validity. Develop and deploy ML tools, and