4 postdoc-in-thermal-network-of-the-physical-building PhD positions at University of Bristol in United Kingdom
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behaviour through these models using uncertainty quantification/machine-learning (UQ/ML) algorithms To optimise the manufacturing process with the help of the simulation tool To support in the development and
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) - Knowledge of programming (C/C++/python/MATLAB), CAD software (SolidWorks/Autodesk) and basic electronics - Understanding of physical and chemical principles of/for transduction - Experience building
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process. Address blind inverse problems by defining a network to learn distortion functions from data, informing the optimization in the learning process. Refine optimization and learning strategies
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per annum is provided for consumables. Funding is allocated through a competitive allocation process. For eligibility and residence requirements please check the UKRI UK Research and Innovation website