Location: Vienna, Austria
Remote: Open, but work in presence is important
Willingness to relocate: No
Skills: Applied mathematics, Uncertainty quantification, Reduced order modeling, Finite elements, Scientific Python and C++, Git version control, Bash
CV: https://andreascaglioni.net/wp-content/uploads/2023/08/Andre...
Email: andrea.c.scaglioni@gmail.com
About me: I am about to finish my PhD in computational mathematics. I am excited about applying my skills to support the work of a technology firm with efficient solutions to computational problems.
I have expertise in uncertainty quantification for PDEs, i.e. differential equations with random coefficients/stochastic terms. I can program for scientific applications with attention to code readability, performance, and reliability with guaranteed accuracy.
About me: I am about to finish my PhD in computational mathematics. I am excited about applying my skills to support the work of a technology firm with efficient solutions to computational problems. I have expertise in uncertainty quantification for PDEs, i.e. differential equations with random coefficients/stochastic terms. I can program for scientific applications with attention to code readability, performance, and reliability with guaranteed accuracy.