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research across thermal-energy storage, heat-transfer systems, and control engineering. This includes CFD/FEA modelling using tools such as ANSYS, COMSOL or OpenFOAM, laboratory experimentation for PCM
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at the deadline for applications, including those resulting from academic degree recognition processes. Preferential Requirements: Nanofluids, heat transfer; fabrication of PDMS devices, nanoparticles production
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physics such as heat transfer, melt-pool dynamics, residual stress evolution, and microstructure formation. Experiments and numerical simulations will be conducted to evaluate the predictive capability
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fire with different battery pack features based on conjugate heat transfer (CHT) framework. (3) Developing the model to predict the fire propagation in EVs and PABs by coupling the CFD model and the semi
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or related disciplines). Work experience in similar industries. Prior experience in waste recycling, pyrolysis, production of activated carbon, heat transfer, process design, process control would be
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of mass and heat transfer is highly desirable. Proficiency in thermal characterization techniques (e.g., IR thermography, emissivity measurement, thermal conductivity testing). Experience with optical
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, heat transfer, and building energy performance evaluation. Experience of test bed setup development, testing & commissioning, and performance analysis. Knowledge of industrial protocols, sensors, and
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. Such results will be integrated into system upgrades. About You You will have a PhD (or close to completion) in Computational Fluid Dynamics with relevant experience in chemical engineering, heat transfer
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, prototypes, system integration, next generation metal hydride materials, heat transfer media and novel hydrogen extraction methods. The role-holder will work in a multidisciplinary team of scientists
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use in process heat and/or refrigeration production systems in industries; analysis of the energy and economic performance of process heat and/or refrigeration production systems in industrial