VAC-2021-18 - PhD Position in Innovative Algorithms for Fast Accurate Computing Group

Title of the PhD project: Scientific Machine Learning for UAVs Path Planning

Unmanned aerial vehicles (UAVs) and micro aerial vehicles are gaining increasing attention in urban environments. Several challenges arise in identifying optimal paths. Note that the conditions in which these devices operate are characterized by a large variability of the external aerodynamic forces induced by the changes in wind intensity and direction. The resulting problem thus features a large number of uncertain conditions leading to a high-dimensional parametric space to be explored with optimization routines.

This project aims to develop robust methods for the simulation of external aerodynamics of UAVs in an urban context, accounting for an uncertain and evolving environment. More precisely, the project will bridge physics-based modeling of computational fluid dynamics with machine learning and artificial intelligence solutions for the development of reliable predictions and real-time decision control and optimization.

The functions assigned to the candidate will be:

• Complete a PhD in the Applied Mathematics or Civil Engineering programs at the 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.