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code compilation, which offer a modular approach to domain-specific optimizations. Your project is expected to contribute to cutting-edge research initiatives leveraging, analyzing, and exploiting
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methods to be considered for numerical optimization by an Energy and Emission Management System (EEMS). Data-driven AI methods (e.g. Reinforcement Learning and/or Recurrent Neural Networks) to be considered
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of Energy and Process Engineering. Duties of the position Plan and execute comprehensive, independent research under supervision Interact and collaborate with researchers and project partners Communicate
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and research, in and outside academia. About the project The proposed research aims to optimize the design of timber building systems with innovative connections and achieve an extended service-life
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of such connections. Addressing these gaps will provide critical insights into the long-term performance of timber bridges and help optimize connection design for improved durability. The research will involve both
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working within an international research network to achieve common research objectives Documented experience in science communication Personal qualities required for the position Strong communicationand
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. Magnetic materials like antiferromagnet materials have fast THz spin dynamics, picosecond switching speeds, and net-zero magnetization, making them resistant to external magnetic interference and ideal
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megaprojects). The research group collaborate closely with the centre Project Norway: a comprehensive research network in project management. In recent years, the construction industry has increasingly
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experimental data. Analysis of optimal design conditions of the process. Parametric studies to assess the concept’s capabilities and boundaries including operation at off-design conditions. Use of AI-based
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ventilation of the compartment. It will include collaboration and participation in experimental work. Close collaboration and communication with relevant actors in the FRIC network will help to optimize