Position: Severo Ochoa PhD in Machine Learning in Civil Engineering Group
Team leader: Fernando Salazar
Functions: Complete the PhD thesis in a maximum of three years. Collaborate with various research groups within CIMNE and worldwide. Publish a minimum of two papers in JCR journals during the PhD period.
Research line: Nathalia research is focused on facilitate the assessment of off-channel reservoir classification on the potential risk due to failure with a methodology based on Machine Learning techniques, which will allow to determinate the level of affection for different areas at the surrounding terrain and likely classification based on the physical characteristics of the structure and terrain.
Short CV | Linkedin Profile