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The successful candidate will work on the five year, EPSRC funded, Advancing Parallel Mesh Generation and Geometry Representation to Enable Industrially Relevant, High-Fidelity Simulations REMODEL
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interest in expanding their knowledge in both domains. (1) Geometry/Topology -related methods in computer science. (2) Machine Learning. (For example, graph neural networks, generative networks, or neural
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ultrafast laser pulses on femtosecond timescales. Combining nanofabrication, electromagnetic simulation, and pump–probe laser measurements, the project will explore how 3D geometry, and different materials
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of composite materials and structures. The research will be conducted within the Computational Engineering & Design Group of the Department, on a fixed term - full time contract for a duration of 20 months
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(R3) Country United Kingdom Application Deadline 13 Oct 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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advanced fundamental physical understanding of the phenomena at play but accurate predictions in realistic geometries remain difficult. You will be responsible for implementing and validating ice accretion
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advanced fundamental physical understanding of the phenomena at play but accurate predictions in realistic geometries remain difficult. You will be responsible for implementing and validating ice accretion
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of composite materials and structures. The research will be conducted within the Computational Engineering & Design Group of the Department, on a fixed term - full time contract for a duration of 20 months
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We are seeking to appoint a 3-year Research Fellow within the School of Mathematical Sciences at the University of Southampton in the research programme “Mathematical Foundations of Intelligence
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We are seeking to appoint a 3-year Research Fellow within the School of Mathematical Sciences at the University of Southampton in the research programme “Mathematical Foundations of Intelligence