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position focused on the development of hybrid artificial intelligence and optimization methods for dynamic and stochastic transport operations. The position is based at the Department of Industrial Economics
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objectives: Develop distributed optimization strategies for optimal reactive power dispatch in the Nordic Power System Design Automatic Voltage Regulation schemes under various operational conditions including
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renewable energy use, energy security, and the reliable operation of hydro-dominated power systems. The project will focus on how AI can support advanced optimization models for hydropower and energy-system
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-time operation. The project will focus on how AI and mathematical optimization can be combined to support sequential bidding decisions under uncertainty. The initial use case will consider a wind power
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probabilistic and deterministic reliability criteria with market operation in a single security-constrained optimal power flow model, and combining optimal power flow analysis with reliability analysis methods
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technical-scientific profile and a focus in professional education. The university is located in three cities with headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create
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structure-preserving algorithms to generative modeling in AI. It will build upon the work done at IMF and SINTEF in this field. We will consider techniques like flow matching, and use ideas from optimal
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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
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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
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. This highly innovative project aims to develop a fully AI driven digital twin that enables real-time optimization and control of fermentation processes. The candidate will develop the digital twin for microbial