The Norwegian University of Science and Technology (NTNU) has openings for up to two PhD fellowships in the project “Maritime Autonomous Sampling and Control” (MASCOT), funded by the Research Council of Norway (RCN).
Announcement and application link (Deadline is 17 March): https://www.jobbnorge.no/en/available-jobs/job/182977/2-phd-positions-on-spatio-temporal-statistics-for-marine-robotics-and-ocean-observations The PhD candidates in the MASCOT project will use satellite and physics-based data to develop realistic spatio-temporal statistical models and methods for environmental sampling with autonomous robotic platforms. The developed methods will take advantage of recent advances in computational and spatial statistics and be coupled with new ideas for robotics and AI-based control systems. This research aims to advance embedded decision-making using scalable methods that run onboard autonomous robotic vehicles for oceanographic sampling. In particular, the aim is to increase our knowledge of dynamic environments like the upper water-column, by the design of observational strategies in spatio-temporal domains that enable autonomous platforms to decide where and when to make measurements. While the project's main focus is methodological advancements and development of computationally feasible algorithms that exploit these advances, a secondary goal is to impact the science of oceanography. This secondary goal will be achieved by leveraging complex oceanographic models on shore to validate statistical models and strategies for sampling, and then embed these onboard autonomous marine vehicles. The work place will be at the Department of Mathematical Sciences, Trondheim. In addition to the Department of Mathematical Sciences, NTNU, project partners in MASCOT include the Department of Engineering Cybernetics, NTNU, Sintef Ocean and the Underwater Systems and Technology Lab at Porto University. There will be inter-disciplinary collaboration among partners.
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