- Are you inspired by numerical modelling of reactive multiphase flows?
- Are you well experienced in coupled CFD-DEM modelling?
If yes, you are invited to apply for our fully funded PD position (3 years) on modeling of hydrogen-based direct iron reduction using coupled CFD-DEM and TFM methods. This position is employed at research group of Prof. Yali Tang at
Eindhoven University of Technology (TU/e), and in collaboration with an experimental PhD project at the institute of Prof. Stefan Heinrich at
Hamburg University of Technology (TUHH). The starting date is expected to be no later than June 1st, 2026.
InformationDirect reduced iron (DRI) using hydrogen has been extensively investigated as the most promising green ironmaking method, driving by both applications of Iron Power (using iron powder as energy carrier) and decarbonization of steel industry. Despite extensive research, the commercialization of this technology is still hampered by knowledge gaps in fundamental understanding of the micron-sized cohesive particle behavior in reactive multiphase flows at scales. In this project, we will combine the state-of-the-art experimental diagnostics with advanced CFD modelling to:
- Experimentally characterize the sticking and sintering behavior of iron (oxide) powders at elevated temperatures
- Link particle-scale phenomena to large-scale process dynamics in fluidized and spouted beds.
With this integrated approach, we aim to deliver a robust foundation for improved process design and industrial-scale optimization. In collaboration with a PhD at TUHH focusing on experimental characterization, this PD at TU/e will work on development and application of advanced numerical modelling, including both coupled CFD-DEM and TFM. Focus is on coupled CFD-DEM, which has been established in previous research projects of Prof. Tang.
As a postdoc, you also have opportunities in applying research funding and mentoring junior researchers.