17 computational-physics-simulation PhD positions at University of Nottingham in United Kingdom
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them for specific tasks. The project will combine: Mathematical modelling of dynamical systems; Computational photonics simulations; Comparison with real physical systems (especially photonic systems
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; Computational photonics simulations; Comparison with real physical systems (especially photonic systems using light). Facilities and research environment: High-performance computing facilities; Photonics and
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Area Engineering Location UK Other Closing Date Thursday 30 April 2026 Supervisors: Dr Yaoyao Zheng , Prof. Hao Liu , Dr Omid Saghafifar (Remedium ) Programme Length: Four years Contract Type: Full
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Area Engineering Location UK Other Closing Date Thursday 30 April 2026 Supervisors: Dr Ming Li , Prof. Hao Liu Programme Length: Four years Contract Type: Full-time Prospective Start Date: October
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we are looking for The candidate should have a 1st or high 2:1 degree in mechanical/aerospace/manufacturing engineering, computer science, physics, mathematics, or related scientific disciplines
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). The project investigates how machine learning (ML) can be used to enhance the modelling of boundary layers in industrial CFD simulations, where complex geometries and computational constraints limit near-wall
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are designed, moving beyond forward, trial-and-error approaches towards goal-driven, performance-led system design. The student will work at the intersection of systems engineering, modelling and simulation, and
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one of the world’s leading centres for additive manufacturing research and development, invites applications for a fully funded PhD programme. Metal additive manufacturing is transforming how complex
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of real-time digital twin (physical or Artificial Intelligent based) of electric propulsion system including propulsion motors, power converters, fuel cell and batteries etc within the real-time simulation
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We are looking for an outstanding PhD student with either strong background in computational modelling or significant experience of laboratory work, who is keen to work at the interface between