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Explainability of numerical models has become a major challenge for engineers. In this context, sensitivity analysis is a key tool: it makes it possible to identify and rank the most influential parameters on a model’s or system’s performance, thereby strengthening confidence in the results and supporting decision-making.
Do you want to contribute to the environmental transition and take on a major scientific challenge? This PhD project offers the opportunity to develop innovative solutions for a critical issue: the sustainable recycling of textiles and batteries.
Structural integrity is a major challenge for the reliability and durability of wind turbines. Operational Modal Analysis (OMA) is currently a reference method for characterizing the dynamic state of structures from vibration measurements, but it still relies mainly on networks of accelerometers, whose spatial coverage remains limited.
Recycling plastics is one of the main ways of combating the impact of human activity on the environment. To improve the circularity of these materials, IFPEN is working on industrial solutions involving the design and development of new plastic transformation processes for recycling.
IFP Energies Nouvelles offers an innovative PhD opportunity at the intersection of Artificial Intelligence (AI) and High-Performance Computing (HPC).
The global energy transition towards the electrification of transportation has triggered an unprecedented demand in battery production, leading to a critical need for the sustainable recovery of strategic metals such as lithium or cobalt.
Zeolites, characterized by their well-defined crystalline and nanoporous structures, are pivotal in transitioning from fossil fuels to renewable energy sources to produce fuels and chemicals.
The current industrial production of hydrogen peroxide (H2O2) relies predominantly on the anthraquinone process, a mature but energy-intensive, complex technology associated with significant CO2 emissions.
Wind farms are essential to the energy transition, but their optimization remains limited by prediction models that use simplified representations of wind, ignoring the complexity of atmospheric conditions. The result: inaccurate predictions of energy production and turbine lifespan, hindering optimization and driving up costs.
Decarbonizing the chemical and energy industries is essential for achieving international climate goals. In this context, second-generation lignocellulosic biomass represents a sustainable alternative to fossil resources for the production of bio-based chemical intermediates.
Essential for numerous industrial processes and energy systems, catalysts gradually lose their efficiency due to phenomena such as coke formation or sintering. To extend their lifespan, which is crucial for a sustainable economy, tens of thousands of tons of catalysts are regenerated each year to restore their performance.