We are seeking a full time PhD researcher with interests in granular physics, computer modelling and Machine Learning techniques to join University of Twente (Netherlands), and work on a novel high-performance multi-phase material point method for modelling submarine landslides . This project is part of the EU funded Marie Curie Doctoral Network POSEIDON – Improve offshore infrastructure resilience against geohazards towards a changing climate (www. poseidon-dn.eu). The overarching objective of POSEIDON is to develop, solutions to improve the resilience of offshore infrastructures. POSEIDON will train 13 researchers within a collaborative multidisciplinary and inter-sectorial network involving 9 universities, 3 research institutes and 4 industrial partners across Europe.
Background and aim:
Submarine landslides involve the movement of saturated sediments down a slope, interacting with seawater and/or offshore infrastructure. During landslides, the bulk of the sediment material (usually considered as a porous medium), transits from solid-like to fluid-like, i.e., from stagnant to continuously flowing. In addition, the coupling between seawater and sediment is crucial in the landslide dynamics. Recent studies have shown that the material point method (MPM) can describe the movement of saturated sediment and the hydrodynamic coupling between soil skeleton and seawater, within a multiple- phase framework. Nevertheless, to accurately predict the dynamics of and dissipation within the sliding masses, the transition between solid and flowing states of sediments must be incorporated.
The doctoral candidate will implement constitutive models for saturated sediments in fluid- and solid-like states into an existing GPU-MPM code. The exchange of momentum, mass, and energy between these admissible states of saturated sediments will be achieved with overlapping subdomains where the transition can potentially take place. To further improve the computational efficiency, machine learning surrogates will be used to partially replace the expensive physics-based models to allow large-scale industrial applications. The project aims to provide more accurate, highly efficient, and physics-based predictions for submarine landslides in order to quantitively assess the risk of damages to offshore infrastructures (e.g., foundations anchors) and induced disasters (e.g., tsunamis).
i) 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;
ii) Develop a reduced-order model of the multi-phase system using machine learning and integrate it into the volume-coupled numerical framework;
iii) Perform simulations of submarine landslides and assess their impact on offshore infrastructures;
iv) Calibrate model parameters using existing experimental data and compare the model predictions with experimental data obtained from laboratory flume experiments.
i) A novel volume-coupled formulation to consider the transport and coupling of multiple phases;
ii) An open-source, multi-phase GPU-based MPM code with clear documentation, tutorials, and examples for future users;
iii) Benchmark cases validated using experimental data from laboratory-scale physical tests.
Dr. Michele Larcher (Free University of Bolzano, 2 months): Perform a laboratory-scale experiment on slope collapse and its interaction with foundation anchors in the flume device; the movement of sediment transport underwater will be recorded and analysed to validate the multiphase MPM model for submarine landslides. DC06 will build his/her work on the experiments previously performed by DC03 in UNIBZ.
Dr. Xue Zhang (University of Liverpool, 3 months): Improve the parallelization of the MPM code; incorporate structural mechanics into the code, e.g., using the finite element method, towards assessing the impact of the slides on submarine infrastructures; comparison of PFEM-MPM methods performances.Your profile
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status. Women are explicitly asked to apply for this position. This is part of the University of Twente's strategy to increase the proportion of women among its faculty and to create a working environment that is diverse and inclusive and supportive of excellence in research and education.Our offer
We offer you a very exciting position in an inspiring multidisciplinary environment. The university offers a dynamic ecosystem with enthusiastic colleagues in which internationalization is an important part of the strategic agenda.
The University of Twente is situated on a green and lively campus with lots of facilities for sports and other activities.Information and application
As a PhD candidate, you will be enrolled in the University of Twente. The Ph.D project will be conducted under the supervision of prof. V. Magnanimo, prof. S. Luding and dr. Hongyang Cheng. An extended Supervisory Committee, including academic and industrial supervisors from The POSEIDON consortium, will guide the candidate during his/her PhD.
Please submit your application before February 28, 2024 via the ‘Apply now' button, including:
Master students who will graduate in the next coming months are welcome to apply. In that case, please provide an overview of the transcripts that are already available.
The deadline for application is 28 February 2024. The intended starting date is 1 September 2024 , at latest.
The first round of selection interviews is scheduled few weeks after the closure of the applications and interviews can be held through Microsoft Teams. A second round of interviews may be scheduled if necessary.About the organisation
The Faculty of Engineering Technology (ET) engages in education and research of Mechanical Engineering, Civil Engineering and Industrial Design Engineering. We enable society and industry to innovate and create value using efficient, solid and sustainable technology. We are part of a ‘people-first' university of technology, taking our place as an internationally leading center for smart production, processes and devices in five domains: Health Technology, Maintenance, Smart Regions, Smart Industry and Sustainable Resources. Our faculty is home to about 2,900 Bachelor's and Master's students, 550 employees and 150 PhD candidates. Our educational and research programmes are closely connected with UT research institutes Mesa+ Institute, TechMed Center and Digital Society Institute.Want to know more Cheng, H. (Hongyang)
Assistant ProfessorCheng, H. (Hongyang)
Do you have questions about this vacancy? Then you can contact Hongyang for all substantive questions about this position and the application procedure. For general questions about working for the UT, please refer to the chatbot.Contact
Email:[email protected]How to apply Step 1
Apply. When you see a vacancy that appeals to you, you can apply online. We ask you to upload a CV and motivation letter and/or list of publications. You will receive a confirmation of receipt by e-mail.Step 2
Selection. The selection committee will review your application and you will receive a response within 2 weeks after the vacancy has been closed.Step 3
1st interview. The 1st (online or in person) meeting serves as an introduction where we introduce ourselves to you and you to us. You may be asked to give a short presentation. This will be further explained in the invitation.Step 4
2nd interview. In the second interview, we will further discuss the job content, your skills and your talents.Step 5
The offer. If the conversations are positive, you will be made a suitable offer.Your Colleagues
At the UT it's all about people, in line with our university's High Tech Human Touch philosophy. In everything we do, the well-being and future of our students and staff are paramount. From research and teaching to personnel management, campus management and the use of new technologies.
Our university is a public institution that serves society. We are accountable to society for the ways in which we use our academic freedom. We are responsible for ensuring that the power of science and technology is harnessed to achieve the best possible impact in a changing world. We cherish our rich tradition of combining technical and social sciences in our five profiling themes: Improving healthcare by personalized technologies; Creating intelligent manufacturing systems; Shaping our world with smart materials; Engineering our digital society; and Engineering for a resilient world.
We help society meet the challenges of today and tomorrow. But we are also transparent about what science and technology can and cannot do in finding sustainable solutions. And help translate these solutions into everyday life.
We want our communities to flourish and show resilience, so we seize opportunities for innovation. We are knowledgeable and have an eye for what society needs. Our students and staff receive all the guidance they need in their quest for ecological, social and economic sustainability. “The University of Twente is all about people. Our sustainable technologies help to strengthen society.”
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