7 machine-learning "https:" "https:" "https:" "UCL" Fellowship positions at Queen's University Belfast
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vulnerabilities. This role sits at the intersection of AI for security, AI security, and computer architecture, contributing to a first- of-its-kind security framework for next-generation Hw/Sw computing systems
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similar structures from the same population. New machine learning, sensing and digital twin technologies will be developed with the aim of driving new standards for safer, greener structures in the future
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publications. Have experience analysing AUV, BRUV or other marine video datasets; Demonstrate advanced GIS capability (ArcGIS Pro or QGIS) is essential, as is confidence in applying machine-learning approaches
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(or related discipline) To have, or be about to obtain, a PhD in Electronic Engineering, Computer Science, Computer Engineering, or closely related discipline. Relevant research experience in hardware security
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. You can find more detail on all of this and more at https://www.qub.ac.uk/directorates/HumanResources/pay-reward-andbenefits Queen's University is committed to promoting equality of opportunity to all
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study area. Assist with co-creation of transdisciplinary action plans and learning cycles between researchers, stakeholders and the coastal communities. Produce high quality research outputs consistent
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Research and Innovation (UKRI) Hub for Quantum Enabled Position, Navigation & Timing – QEPNT Hub (https://qepnt.org/), focusing on the application of such technologies for Autonomous Vehicles, as