Doctoral student in non-Newtonian fluid mechanics and AI
Doctoral student in non-Newtonian fluid mechanics and AI Apply for position KTH Royal Institute of Technology, School of Engineering Sciences Project description Third-cycle subject: Engineering Mechanics Within EU doctoral network F airCFD, this project will combine high-performance computing, experiments and artificial intelligence in non-Newtonian flows, with the aim of improving rheological characterisation and modelling. In particular, we will design a digital twin rheometer to reliably measure complex fluid parameters in time-varying and chaotic flows. We will use modern AI techniques…
