PhD in Two-Phase Flow Modelling for Safer Dike Defenses

Delft University of Technology (TU Delft); Delft; On-site; EUR 34,000 - 43,000; Full time

Job summary

Delft University of Technology invites applications for a PhD researcher to advance two-phase flow modelling of internal erosion and piping in layered dikes. You will connect fundamental flow physics with computational modelling to contribute to safer flood defences and robust risk assessments.

The position emphasizes developing continuum-based models, deriving constitutive relations from DNS-DEM data, and exploring adaptive mesh refinement within a cross-disciplinary team at TU Delft.

Qualifications

• MSc degree in a relevant field.
• Training in multiphase flow physics and CFD.
• Excellent communication skills and command of English.
• Affinity with teaching MSc students.
• Familiarity with Euler–Euler multiphase flow modelling and automatic mesh adaptation is an advantage.

Responsibilities

• Develop continuum-based two-phase models to predict internal erosion and pipe progression in clay-sand layered dikes.
• Derive constitutive modelling approaches from high-fidelity DNS-DEM data.
• Capture multi-scale pipe formation while maintaining computational efficiency, including adaptive mesh refinement strategies.
• Disseminate research outcomes through scientific publications, conferences, and collaboration with researchers.

Skills

Excellent communication

English proficiency

CFD

Automatic mesh adaptation

Education

MSc in Mechanical Engineering

Tools

Euler–Euler multiphase flow modelling

CFD software

Job description

Delft University of Technology invites applications for a PhD researcher to advance two-phase flow modelling of internal erosion and piping in layered dikes. You will connect fundamental flow physics with computational modelling to contribute to safer flood defences and robust risk assessments.

The position emphasizes developing continuum-based models, deriving constitutive relations from DNS-DEM data, and exploring adaptive mesh refinement within a cross-disciplinary team at TU Delft.