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vanadium for energy storage applications. Applying thermodynamic modeling tools (CALPHAD, FactSage) to simulate vanadium phase behavior and guide process improvements. Performing advanced characterization
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the different facets of hydrocarbon reservoir systems, interpreting seismic data, and applying structural geology and geomechanics principles. An experience in numerical modelling and/or petrophysics would be
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purification technologies, and advancing circular water management in mineral processing. The work spans mineral processing, electrochemistry, hydrometallurgy, and environmental engineering. The successful
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the intersection of energy transition, circular economy, and sustainable construction production. This position aims to advance innovative solutions that promote sustainability in the built environment, focusing
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graphite for Li-ion battery applications, developing sustainable purification technologies, and advancing circular water management in mineral processing. The work spans mineral processing, electrochemistry
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industrial chemical operations. The selected candidate will join a multidisciplinary team and contribute to the scientific and technical advancement of sustainable construction materials. He/She will
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designing and optimizing biomass processing methods, including chemical, mechanical, and enzymatic treatments. Knowledge of advanced pre-treatment techniques. Proficiency in kinetic and thermodynamic modeling
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in Statistial models for optimizing the chemical process Skills in elemental & structural analysis using various existing techniques. Knowledge in advanced structural characterizations will be valued
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applications. Skills in modeling & structural analysis using various existing techniques. Knowledge in advanced thermal and water management systems will be valued. Familiar with risk assessment and safe working
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
Materials Research Center (SusMat-RC) at UM6P. The successful candidate will work on an exciting project focused on extracting and analyzing experimental and computational data to develop predictive models