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. Demonstrated interest in the physics of sea ice and computational modelling of ice will be considered as an advantage. Suitable backgrounds include solid mechanics, mechanical engineering, computational
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into such prototypes that can be industrially manufactured with both mature and emerging technologies, including Manufacturing techniques relevant to product design (such as the design and mechanical engineering of
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, Computer Science, Control, ML/AI, Mechatronics, or Applied Mathematics; strong analytical and writing skills; solid programming and mathematical skills (Python/C++, ROS valued); fluent English. Position-specific
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, computer science, electrical engineering, automation, or a closely related field. A solid foundation in at least one of the following areas: machine learning, statistical modelling, time-series analysis, reliability
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mechanical engineering, marine engineering, reliability engineering, industrial engineering, data science, applied mathematics, computer science, electrical engineering, automation, or a closely related field
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Mechanical Engineering, Technical Physics, or a closely related field. Additional studies or research experience in following will be considered an advantage: Computational fluid dynamics simulations
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demonstrated interest in numerical methods, and high-performance computing. Applicants should hold a master’s degree with excellent academic performance in Mechanical Engineering, Technical Physics, or a closely