High-Performance Multi-Phase Material Point Method Researcher
4 weken geleden
DC06: High-Performance Multi-Phase, Volume-Coupled Material Point Method for Modeling Submarine Landslides
About the Project:The University of Twente is seeking a highly motivated PhD researcher to join our team and work on a novel high-performance multi-phase material point method for modeling submarine landslides. This project is part of the EU-funded Marie Curie Doctoral Network POSEIDON, which aims to develop solutions to improve the resilience of offshore infrastructures.
Objectives:- Extend an existing MPM code from single-phase to multi-phase based on a volume-coupled formulation that incorporates mass, momentum, and energy exchange between slow- and fast-flowing sediments and water.
- Develop a reduced-order model of the multi-phase system using machine learning and integrate it into the volume-coupled numerical framework.
- Perform simulations of submarine landslides and assess their impact on offshore infrastructures.
- Calibrate model parameters using existing experimental data and compare the model predictions with experimental data obtained from laboratory flume experiments.
- A novel volume-coupled formulation to consider the transport and coupling of multiple phases.
- An open-source, multi-phase GPU-based MPM code with clear documentation, tutorials, and examples for future users.
- Benchmark cases validated using experimental data from laboratory-scale physical tests.
- Obtained a MSc degree in a relevant field such as civil engineering, mechanical engineering, computational physics, applied mathematics, materials science, or related areas.
- Experience with numerical methods for solving partial differential equations.
- Previous experience with multi-phase materials and transport phenomena and/or deep neural network solvers will be advantageous.
- Sound programming skills in C/C++, Fortran, Python or equivalent.
- Excellent teamwork and communication skills.
- A full-time 4-year PhD position with excellent mentorship and a stimulating research environment.
- Collaborations with a dedicated, dynamic research team and external parties from several European countries involved in the POSEIDON project.
- A competitive salary and benefits package, including a holiday allowance of 8% of the gross annual salary, an end-of-year bonus of 8.3%, and a solid pension scheme.
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High-Performance Multi-Phase Material Point Method Researcher
4 weken geleden
Enschede, Overijssel, Nederland University of Twente VoltijdResearcher in Submarine Landslide DynamicsWe are seeking a highly skilled PhD researcher to join our team at the University of Twente, Netherlands, and work on a novel high-performance multi-phase material point method for modeling submarine landslides.About the ProjectThis project is part of the EU-funded Marie Curie Doctoral Network POSEIDON – Improve...
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Enschede, Overijssel, Nederland University of Twente VoltijdWe are seeking a highly motivated PhD researcher to join our team at the University of Twente, working on a novel high-performance multi-phase material point method for modeling submarine landslides. This project is part of the EU-funded Marie Curie Doctoral Network POSEIDON, aiming to improve offshore infrastructure resilience against geohazards.Background...
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Enschede, Overijssel, Nederland University of Twente VoltijdWe are seeking a highly motivated PhD researcher to join our team at the University of Twente, working on a novel high-performance multi-phase material point method for modeling submarine landslides.This project is part of the EU-funded Marie Curie Doctoral Network POSEIDON, which aims to develop solutions to improve the resilience of offshore...
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Enschede, Overijssel, Nederland University of Twente VoltijdWe are seeking a highly motivated PhD researcher to join our team at the University of Twente, working on a novel high-performance multi-phase material point method for modeling submarine landslides.This project is part of the EU-funded Marie Curie Doctoral Network POSEIDON, which aims to develop solutions to improve the resilience of offshore...
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