4 fully-funded PhDs in TU Delft on Aerospace, Machine Learning and Quantum Computing

4 fully-funded PhDs are available in Delft University of Technology under the joint supervision of researchers from the Faculty of Aerospace Engineering and the Faculty of Electrical Engineering, Mathematics and Computer Science. We will explore the exciting interdisciplinary areas of Quantum Computing and Machine Learning with aerospace applications on composites optimization and materials radiation modelling. 2 PhDs will be focusing on aerospace applications with ML and QC (lead supervisors: Boyang Chen, Yinglu Tang, Roeland De Breuker): - Optimization of Composite Laminates (https://lnkd.in/dEbxDK5S). - Modelling of the Interaction of High-Energy Radiation and Space Materials (https://lnkd.in/dunJwR3R). 2 PhDs will be focusing on algorithms development on ML and QC (lead supervisors: Sebastian Feld, Matthias Möller): - Iterative Hybrid Optimization Algorithm (https://lnkd.in/dJaWaJmc). - Learning Surrogate Modelling (https://lnkd.in/dwXNpuHu). Deadline for application is 1 Feb 2022. Please only apply online through the TU Delft portal.

Apply online through TU Delft portal only. Details of the 4 PhDs, requirements and the application portals can be found in the websites below: - Optimization of Composite Laminates: https://lnkd.in/dEbxDK5S - Modelling of the Interaction of High-Energy Radiation and Space Materials: https://lnkd.in/dunJwR3R - Iterative Hybrid Optimization Algorithm: https://lnkd.in/dJaWaJmc - Learning Surrogate Modelling: https://lnkd.in/dwXNpuHu