We are seeking a candidate with experience in research focused on the numerical 
approximation of fluid dynamics problems. The role will prioritize the development of 
numerical techniques aimed at reducing complexity, including methods such as POD-Reduced 
Basis and Machine Learning. Research will involve high-level programming languages 
(C/C++/Python) and open-source libraries for scientific computing and machine learning 
(e.g., OpenFOAM, numpy, scipy, pyTorch, pandas). The work will focus on numerical 
simulations of urban air pollution diffusion for environmental flows in both urban and 
natural settings.

The ideal candidate will possess strong communication skills in English, excellent social 
skills, and the ability to handle engineering and mathematical projects independently and 
in a team setting. A PhD is not required for this position, though candidates interested in 
pursuing a PhD are particularly encouraged to apply.

Interested candidates are encouraged to apply at this link (applications by email will not 
be considered):

https://www.santannapisa.it/en/node/279416