DC06: High-performance multi-phase, volume-coupled material point method for modelling submarine landslides

2 weken geleden


Enschede, Overijssel, Nederland University of Twente Voltijd

University of Twente - PhD Researcher Position

We are looking for a full-time PhD researcher interested in granular physics, computer modeling, and Machine Learning techniques to join the University of Twente in the Netherlands. This role involves working on a cutting-edge high-performance multi-phase material point method for modeling submarine landslides.

Background and Aim:

- Submarine landslides involve the movement of saturated sediments down a slope, interacting with seawater and offshore infrastructure.

  • The doctoral candidate will implement constitutive models for saturated sediments in fluid- and solid-like states into an existing GPU-MPM code.
  • Momentum, mass, and energy exchange between different states of sediments will be achieved with overlapping subdomains.
  • Machine learning surrogates will be used to improve computational efficiency in predicting landslide dynamics.

Objectives:

i) Extend an existing MPM code to multi-phase systems.

ii) Develop a reduced-order model using machine learning.

iii) Perform simulations and assess landslide impacts on offshore infrastructures.

iv) Calibrate model parameters using experimental data.

Expected Results:

  • A novel multi-phase GPU-based MPM code with clear documentation.
  • Benchmark cases validated using experimental data.

Planned Secondments:

- Dr. Michele Larcher (Free University of Bolzano): Perform experiments on slope collapse.

- Dr. Xue Zhang (University of Liverpool): Improve parallelization of the MPM code.

Your Profile

  • Obtained an MSc degree in a relevant field.
  • Experience with numerical methods and multi-phase materials.
  • Sound programming skills in C/C++, Fortran, Python, or equivalent.
  • Excellent teamwork, collaboration, and communication skills.

Our Offer

- Full-time 4-year PhD position with mentorship and a stimulating research environment.

  • Collaboration with a dedicated research team and external parties.
  • Gross monthly salary ranging from €2.770,00 to €3.539,00.
  • Excellent fringe benefits including holiday allowance, end-of-year bonus, and parental leave.
  • Situated on a green and lively campus with various facilities.


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