PhD in Energetics: Data Assimilation for Predicting Pollution Maps under Realistic Environmental Conditions at IFP Energies nouvelles (IFPEN)

Controlling pollutant emissions is a critical environmental challenge, with greenhouse gases and industrial emissions directly impacting air quality, safety, and climate change. The PhD position at IFP Energies nouvelles (IFPEN) in Rueil-Malmaison, France, offers a unique opportunity to advance the prediction of pollutant dispersion in complex industrial environments. The project focuses on developing innovative tools that combine high-fidelity simulations using a Lattice Boltzmann Method (LBM) CFD code with advanced data assimilation techniques, particularly the Ensemble Kalman Filter (EnKF). The successful candidate will integrate data from both fixed and mobile sensors to design methods that improve turbulence models, reduce uncertainties, and deliver reliable real-time forecasts. The research aims to support better control of industrial emissions, thereby reducing health and environmental risks. The project is highly interdisciplinary, bringing together fluid mechanics, high-performance computing, and data science, and is supported by strong academic and industrial partnerships. Real data from industrial measurement campaigns will be used, and the candidate will contribute to cutting-edge advances in data assimilation and adaptive sensor control. Supervision will be provided by Prof. Marcello MELDI (LMFL) and Dr Karine TRUFFIN (IFPEN), ensuring a dynamic and collaborative research environment. The PhD student will benefit from access to state-of-the-art laboratory infrastructures, computing facilities, and a comprehensive training program. IFPEN offers a competitive salary and benefits package, as well as opportunities to present research at international conferences and publish in high-impact journals. Eligibility: Applicants must have a Master’s degree (or equivalent) in Mathematics, Computer Science, or Fluid Mechanics. Essential skills include CFD, programming (Python, C++), numerical analysis, and knowledge of turbulent flows. Excellent English proficiency is required. Funding: The position is fully funded by IFPEN, with a competitive salary and benefits package. Application Deadline: 30 September 2026 How to Apply: Interested candidates should send their application (CV, cover letter, and academic transcripts) to Dr Karine Truffin at [email protected] . Please refer to the position title in your email subject. For more information, visit the IFPEN website or the position link .