Doctoral theses

In order to reduce the environmental impact of transport and the chemical industry, IFPEN is investing in biorefineries, biofuels and bio-based chemistry. Among the targets being explored, fumaric acid has the potential to become a platform molecule, providing access to various bio-based molecules.

This PhD subject aims to develop a thermodynamically consistent model for thermo-hydro-mechanical-chemical (THMC) coupling in a porous medium subjected to multiphase flows.

This PhD position is part of the RAISE Franco-German research program funded by ANR (the French National Research Agency) and led by IFP Energies nouvelles (IFPEN) and TU Dresden.

The textile industry, responsible for 10% of global greenhouse gas emissions and 20% of water pollution, faces a major environmental challenge. With less than 10% of textile waste being recycled, and an insignificant share for chemical recycling (<1%), it is urgent to develop sustainable alternatives.

The existence of geological fluids rich in hydrogen (H2) must be explored in order to determine the energy potential of this possible carbon-free resource.

Lithium-ion batteries are essential for electric vehicles and stationary energy storage and play a pivotal role in the energy and ecological transition. These materials, which include critical and strategic metals such as lithium, nickel, cobalt, and copper, are in high demand, with supply chains heavily reliant on imports.

With the development of underground hydrogen storage, it is becoming increasingly important to anticipate how microbial communities will evolve and interact with injected H₂. This PhD project aims to develop a mechanistic model of microbial competition in hydrogen-rich subsurface environments.

Behavioral economics for studying perceptions of bioengineered products

The field of power electronics is currently undergoing a major revolution thanks to the emergence of wide bandgap (WBG) components, such as SiC and GaN. These technologies pave the way for power converters capable of operating at unprecedented voltages, frequencies, and temperatures, while significantly increasing power density.

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.