VAC-2021-34 - PhD Position in Kratos Multiphysics Group

Title of the PhD project: Reduced Order Modelling techniques for compressible flow Finite Element models

While a large body of applications can be tackled by the use of incompressible CFD, a large number of situations requires the adoption of compressible approaches.

The proposed research will explore the application of FEM for the simulation of compressible flows with the specific goal of targeting optimization-type applications.

To this end the research will focus on the development of a range of models with different level of fidelity, ranging from resolved models such as full Navier Stokes, Euler or full-potential models to arrive to the development of fast surrogates to be developed by the use of Projection-Based Reduced Order Models.

The newly developed capabilities will be applied both in the context of aerospace, where the candidate will tackle the benchmark test cases to be proposed in the NextSim project to applications in manufacturing.

A specific requirement of the developments will be also to guarantee the integration with Machine Learning models (for example TensorFlow) so that the models can be eventually coupled with Artificial Intelligence frameworks, for example in the context of the eFlows4HPC project.

The functions assigned to the candidate will be:

• Complete a PhD on “Análisis Estructural” at Universitat Politècnica de Catalunya – Barcelona Tech. The candidate is expected to complete the PhD thesis in a maximum of three years.
• Collaborate with various research groups within CIMNE and worldwide.
• To publish a minimum of two papers in JCR journals during the PhD period, author and co-author articles in high-impact international journals.
• Carry out quality research, training and management.
• Participate on the dissemination and outreach activities associated with the project.
• Participate in international conferences presenting her/his work.