Doctoral theses

IFPEN aims to position itself as a provider of innovative, cleaner, and more efficient processes. The proposed PhD thesis falls within the framework of the implementation and optimization of liquid-liquid extraction for metal recovery in the context of battery recycling.

This PhD position deals with Physics Informed Machine Learning (PIML) modeling methodologies, a novel generation of deep-learning architectures that combines physical laws with data-driven approaches.

Plastic wastes recycling is a major environmental issue. Although European regulations are initiating major changes in terms of collection and incorporation of recycled materials, technologies for recycling such complex streams still must be developed.

With the rise of new technologies and the rapid evolution of transportation modes, understanding mobility behaviors becomes a significant challenge to optimize infrastructure, anticipate transportation demand, and guide public policies.

Per- and polyfluoroalkyl substances (PFAs) represent a family of over 4,000 compounds synthesized since the 1950s, used in various industrial sectors for their exceptional properties (non-stick, waterproof, and heat-resistant).

All solid states Li batteries offer the promise of surpassing the energy density limits of current generations, thanks to the combined use of a solid electrolyte (SE) and a lithium metal anode. The key to this system lies in the choice of electrolyte and its integration into the cell.

The emergence of electric vehicles in the automotive market is increasingly pushing manufacturers to design more efficient and low-cost electric drive chains. These objectives allow to increase autonomy and to be competitive in the automotive market.

Producing decarbonized Jet fuel has received increasing interest lately. Using ethanol produced by biomass fermentation or from plastic wastes transformation as a platform molecule to produce ethylene is the first step to produce sustainable aviation fuels. Ethanol dehydration processes need catalysts with hydrothermal and coking resistance.

Analytical wind farm flow models are used for the optimisation and design of wind farms due to their low computational cost.

Thousands of per- and polyfluoroalkyl substances (PFAS) have been synthesized since the mid-20th century. These compounds, selected for their exceptional properties, find many applications in our daily lives, including waterproofing textiles, packaging, and non-stick coatings for kitchen utensils.