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communication for global ocean environments: Deep learning models perform robustly on certain environments since they are developed by data in low signal-to-noise ratio. To develop more robust models, we will
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following areas: Salmon ecology (including biophysical ecology, modeling, acoustic telemetry, and landscape and seascape ecology) Fisheries assessment (including habitat and groundfish ecology and assessment
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PhD Position on Modelling the Evolution of the Larsen C Ice Shelf Faculty: Faculty of Science Department: Department of Physics Hours per week: 36 to 40 Application deadline: 15 May 2025 Apply
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simulations of Jakobshavn Isbræ and NEGIS using the open-source Ice Sheet and Sea Level Model (ISSM). The candidate is expected to perform original research that aims at improving our understanding of past
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. Your job In this PhD position, you will conduct idealised experiments with an atmospheric model (OpenIFS), using concepts from the mathematical field of periodically forced dynamical systems. You will
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the Western Baltic Sea. The PhD Scholarship includes before-after control-impact (BACI) studies as well as underwater footage to determine fish abundance (MaxN) and biodiversity of mobile fauna (e.g. shore crab
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drier with global warming. However, particularly in the vulnerable subtropical and mid-latitude regions, the state-of-the-art climate models produce simulations that differ not only in the magnitude, but
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wind farm clusters may impact atmospheric and sea conditions over different time and space scales, investigating how wind farm yields may be impacted by proximity of neighbouring wind farm clusters, and
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you like to contribute to an increased understanding of carbon cycle feedbacks in the climate system? Do you thrive in the dynamic blend of seagoing fieldwork, laboratory experiments and modelling? As a
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of Digital Twins being used to assess NBS. This project builds on the Newcastle University team’s decades of expertise in modelling the circulation of open oceans, shelf seas and estuaries. The Digital Twin