特文特大学PhD position in Hybrid particle-continuum modelling申请条件要求-申请方
主办方
特文特大学
PhD直招介绍
Job description
In dike safety assessment, it is important to understand how failure processes at different scales contribute to flood risk. In the case of BEP, this includes erosion at the pipe tip, continued erosion along the growing pipe, and the transport of sediment under changing hydraulic conditions. These processes are driven by local and regional groundwater flow, which is strongly affected by variations in the shallow subsurface. Existing models often rely on (semi-)empirical rules, such as the Sellmeijer criterion, to predict pipe growth and the critical hydraulic head. However, because the underlying BEP mechanisms are still not fully understood, the main parameters controlling pipe development remain uncertain. As a result, predictions of when failure will occur can vary significantly.
Within Work Package 3, Upscaling BEP models across scales, you will address the following scientific challenge: incorporating BEP mechanisms into continuum-based models in which the interaction between pipe growth at the micro-scale and groundwater flow at the local and regional scale is explicitly represented. You will use an existing concurrent multi-scale modelling framework that combines the finite element method (FEM) and the discrete element method (DEM).
You will work closely with two other PhD candidates who will study how 3D subsurface variability influences BEP behaviour, using both simplified and advanced BEP models within a unified probabilistic framework. This approach makes it possible to combine models with different levels of detail and computational cost, and to use them efficiently for quantifying the risk of dike failure caused by backward erosion piping.
About the organisation
At the Faculty of Engineering Technology (ET), we work on engineering for impact: developing smart, sustainable, human-centred and technological solutions for societal challenges. We connect fundamental education, research and practice across five core domains: Asset & Maintenance engineering, Intelligent Manufacturing Systems, Personalised Health Technology, Resilience Engineering, and Sustainable Production, Energy and Resources.
We work on education and research in mechanical engineering, civil engineering and industrial design engineering. Together, we learn by making, creating, and innovating, addressing challenges in a solution-oriented way. Quality, connection and inclusivity are the foundation of our culture.
In our open community, students, researchers and staff collaborate with industrial and societal partners. This enables us to develop insights, applications and solutions that add value to society.
特文特大学 PhD position in Hybrid particle-continuum modelling项目有没有奖学金，是不是全奖Phd招生，下面我们一起看一下【大学名称】Phd的奖学金资助情况
项目资助情况
Our offer
A fully-funded PhD position for 4 years.
The PhD project will be conducted under the supervision of Prof. V. Magnanimo and Dr. H. Cheng at University of Twente.
As a PhD candidate, you will be enrolled in the Twente Graduate School (TGS).
A position in an inspiring, multidisciplinary and international environment with an attractive campus and lots of facilities for sports and leisure. The university provides a dynamic ecosystem with enthusiastic colleagues.
A starting salary of € 3059,- gross per month in the first year and increasing to € 3881,- gross per month in the fourth year.
An annual holiday allowance of 8% of the gross annual salary, and an annual year-end bonus of 8.3%.
A solid pension scheme.
Minimum of 41 leave days in case of full-time employment.
Access to excellent facilities for professional and personal development.
In addition, the PhD fellow will benefit from close collaboration with partners in the Digital Dikes network.
特文特大学Phd申请条件和要求都有哪些？PhD position in Hybrid particle-continuum modelling项目是不是全奖？有没有奖学金？下面我们一起看一下特文特大学申请Phd直招需要具备哪些条件和要求，以及托福、雅思语言成绩要到多少才能申请。
申请要求
Your profile
Requirements:
MSc graduate in Geotechnical, Civil Engineering, Mechanical Engineering, Physics, or related fields.
Affinity with granular materials, fluid-coupled particulate systems in slow and/or fast motion, or soil erosion processes.
Knowledge of and experience with numerical methods, such the finite element method (FEM) and discrete element method (DEM)
Numerical simulation and coding experiences (C++, Python).
Good communication skills and the ability to work in a multi-disciplinary environment, learning and communicating with the project stakeholders.
Proficiency in English (spoken and written).
报名方式
申请链接
招生人信息
Dr. Hongyang Cheng,Prof.dr. Vanessa Magnanimo
Email:
h.cheng@utwente.nl
v.magnanimo@utwente.nl
电话：+31 53 489 9986
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