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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
in complex engineer-to-order shipbuilding. Realizing the full potential of AI is both a technical and an integrative challenge. It requires combining what AI excels at, such as pattern recognition and
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. Design explanation methods that connect predictions to meaningful spatial, temporal, frequency-domain, semantic, or example-based evidence. Evaluate robustness and transfer to unseen datasets, content
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the Hardware Reverse Engineering Laboratory (HRE Lab) at NTNU, together with its hardware analysis and reverse-engineering capabilities. The candidate will design and conduct controlled experiments
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face of adversity. Show curiosity and a strong motivation for the subject. Analyze data, assess different perspectives and draw well-founded conclusions. Be flexible and open to adjusting the plan
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doctoral programme in Technology within three months of starting in the position. (https://www.usn.no/english/research/postgraduate-studies-phd/our-phd-programmes/technology/). The doctoral programme
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above Academic publications and popular science dissemination Participate in the research group Critical Infrastructure Security and Resilience (https://www.ntnu.edu/iik/cisar ) Participate in
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years with both research and other career-promoting work. This will be clarified in the recruitment process. A career plan will be prepared that specifies the competencies that the Research Fellow will
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percent of the time period is allocated to teaching in the forestry at the department. The final doctoral education plan must be approved and agreed upon within three months after the start of the position
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. The topic of the doctoral research will on development of efficient and scalable search engines. This entails design of new retrieval models, efficient query processing, and use of modern hardware
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utilize low-grade waste heat. The project aims to develop methods for the design, optimization, and operation of integrated systems that maximize both economic performance and environmental benefits