We are looking for PhD students, UROP and Erasmus+ students interested in data assimilation and scientific machine learning for fluids.
Openings and how to applyPhD Students
| Name | Degree | Thesis/Project title | Year |
|---|---|---|---|
| Ben Eze | PhD Aeronautics, Imperial | Interpretable scientific machine learning for real-time prediction of chaotic systems Funding President's PhD Scholarship | 2026– |
Master & Undergraduate Students
Current
| Name | Degree | Thesis/Project title | Year |
|---|---|---|---|
| Lukas Campbell | UROP Aeronautics, Imperial | Autoencoder-based reduced order modelling | 2026 |
| Tarek Obegi | UG Summer project Aeronautics, Imperial | Bidirectional digital twins for the control of chaotic systems | 2026 |
| Konstantinos Barmpounis | MSc Advanced Aeronautical Engineering Aeronautics, Imperial | Real-time bias-aware data assimilation for turbulent wind farm wake estimation Co-supervisor Luca Magri | 2026 |
| Salvatore Aloj | MSc Advanced Aeronautical Engineering Aeronautics, Imperial | Wake reconstruction from wind turbine load measurements using a nonlinear machine learning approach Co-supervisor George Rigas | 2026 |
Past
| Name | Degree | Thesis/Project title | Year |
|---|---|---|---|
| Ben Eze | MEng Aeronautical Engineering (FYP) Aeronautics, Imperial | Vision transformer masked autoencoders for restricted-domain flow reconstruction Co-supervisor Luca Magri | 2025-26 |
| Josh Coskun | MSc Advanced Aeronautical Engineering Aeronautics, Imperial | Real-time data assimilation and modelling from particle image velocimetry measurements Co-supervisor Luca Magri (main) | 2025 |
| Leo Hsieh | MEng Aeronautical Engineering (FYP) Aeronautics, Imperial | Real-time prediction of chaotic systems' states and parameters Co-supervisor Luca Magri (main) | 2024-25 |