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- NTNU Norwegian University of Science and Technology
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: Conduct original scientific research related to the project topic Develop new algorithms and methods combining AI and optimization Publish research results in leading international journals and conferences
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algorithm that interface with interpolated geotechnical fields to generate adaptive, variable-length stope geometries. Calibrate and validate the developed models using real-world mine data Develop, document
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centre led by SINTEF Energy Research. FME NorthWind advances research and innovation for the sustainable development of wind energy, with particular emphasis on balancing technological deployment with
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centre led by SINTEF Energy Research. FME NorthWind advances research and innovation for the sustainable development of wind energy, with particular emphasis on balancing technological deployment with
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decisions, and to study how agentic reasoning can navigate trade-offs between interpretability, statistical reliability, and computational feasibility – and to develop principled criteria for when a given
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application process here. About the position Are you motivated to develop next-generation research infrastructure at the intersection of robotics, mechatronics, sensor systems, and life science technology? We
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and accurate, with grit and determination. You have a result-oriented mindset and contribute scientific and practical inputs to projects. You are eager to learn and develop your scientific thinking
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govern transformative technologies such as AI, quantum computing and neurotechnology. Its projects examine how regulators recognise emerging problems, test interventions, develop institutional capacities
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are seeking a candidate with strong expertise in high voltage engineering, hands-on laboratory experience, and a proven ability to contribute to both experimental work and research development within an active
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researchers eager to contribute to this emerging scientific frontier. About the project The role of the PhD candidate will be to develop efficient methods for Hybrid Learning-Control Methods for Autonomous