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Field
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and research in several areas. These include, but are not limited to: Adversarial location and network interdiction models Adversarial machine learning attacks and defense (e.g., against Bayesian
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footage, coordinate laboratory recording campaigns and human annotation of welfare states, and work closely with Ace Aquatec's engineering team to specify, train and evaluate AI/computer vision models
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adaptive cybersecurity solutions for shared social and economic systems. The successful researcher will apply expertise in programmable networking, network traffic analysis, and machine-learning
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Espen Eidum 8th October 2026 Languages English English English Faculty of Engineering Sciences and Technology PhD Fellow in Distributed Acoustic Sensing for Arctic Railway Infrastructure Monitoring
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technology management, or smart grids. Experience in development of mathematical meta-models, control strategies, optimization methods and algorithms, data analysis and machine learning techniques, techno
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++, Java, Julia, or other competent languages. A good record of publications in reputable peer-reviewed journals in maritime transport, logistics management, machine learning, deep learning, and optimization
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assessment criteria: • Academic background of the candidate: PhD in Computer Engineering / Computer Science (5 points); PhD in related fields (2 points); • Participation in R&D projects in a field relevant to
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astronomy, astrophysics, engineering or a related field is required. Candidates should have obtained a PhD within the past five years (PhD received on or after September 30, 2022) or expect to complete
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Espen Eidum 30th September 2026 Languages English English English Faculty of Engineering Science and Technology PhD Fellow in AI-Automated Voltage Control for Future Distribution Networks Apply
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, clinical and sensor data processing, quantitative image analysis and machine learning. They will establish and maintain robust research databases and FAIR-compliant data management processes for large, multi