PhD: Real-time Pollution Forecasts with LBM CFD & EnKF

IFP Energies nouvelles (IFPEN); France; Sur place; EUR 28 000 - 36 000; Plein temps

Résumé du poste

IFP Energies nouvelles (IFPEN) invites applications for a PhD studentship in fluid mechanics and data science. The project combines high‑fidelity simulations using a lattice Boltzmann CFD code with advanced data assimilation (EnKF), integrating fixed and mobile sensors to forecast pollutant dispersion and reduce uncertainties.

The successful candidate will join a collaborative environment, with strong academic and industrial partnerships, work on real data from industrial campaigns, and

Qualifications

• PhD project focusing on CFD and data assimilation.
• Languages ENGLISH Level Excellent

Responsabilités

• Develop and validate methods to improve turbulence models and reduce uncertainties using EnKF data assimilation.
• Explore adaptive control of mobile sensors to optimize data collection.

Connaissances

CFD

Python

C++

Numerical analysis

Turbulent flows

Formation

Master's degree in Mathematics, Computer science or Fluid mechanics

Description du poste

IFP Energies nouvelles (IFPEN) invites applications for a PhD studentship in fluid mechanics and data science. The project combines high‑fidelity simulations using a lattice Boltzmann CFD code with advanced data assimilation (EnKF), integrating fixed and mobile sensors to forecast pollutant dispersion and reduce uncertainties.

The successful candidate will join a collaborative environment, with strong academic and industrial partnerships, work on real data from industrial campaigns, and