SPH Jobs
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4-Year Predoctoral Position at EPhysLab, Universidade de Vigo, Ourense, Spain
We are looking for a motivated PhD candidate to join the EPhysLab Group at the Universidade de Vigo under the FPI 2025 programme, linked to the Spanish national research project AURORA-NUM (PID2024-155465OB-C21). The position is part of the coordinated project AURORA, developed in collaboration with the Universitat Politècnica de Catalunya (UPC).
🧩 About the project
AURORA-NUM focuses on the numerical modelling of breakwater armour units to investigate their stability, resilience and optimisation under realistic engineering conditions. The research combines advanced Smoothed Particle Hydrodynamics (SPH) modelling, high-performance computing, experimental validation within the coordinated project, and applications to real coastal infrastructures.
The PhD candidate will contribute to the development and application of high-fidelity numerical tools for coastal and marine engineering within an active international research environment.
🧠 Main tasks
Development and application of high-fidelity numerical models for breakwater armour stability and failure analysis
Study of hydrodynamic loads, stability and damage processes in coastal structures
Work with HPC tools for advanced simulations
Validation of numerical results against experimental data
Participation in scientific publications, international conferences, and collaboration with project partners
🎓 Requirements
Applicants must:
be enrolled, or be eligible to enrol, in a PhD programme at Universidade de Vigo
not hold a PhD degree
satisfy the official eligibility requirements of the FPI 2025 call
Preferred background:
Civil, Marine, Industrial, Aerospace or Mechanical Engineering
Applied Physics
Mathematics
Computer Science
or related areas
Valued skills:
numerical modelling in coastal or marine engineering
fluid dynamics and wave-structure interaction
CFD, SPH, DEM or related methods
programming in C++, CUDA, Python or Matlab
scientific data analysis and visualisation
good written and spoken English
Contract conditions
Duration: 4 years
Type: Predoctoral research contract
Institution: Universidade de Vigo
Funding includes salary, research stays and PhD tuition support under the official call conditions
Link to apply with more info:
https://secretaria.uvigo.gal/uv/web/convocatoria/public/show/1687
📬 Contact
Prof. Alejandro J. Cabrera Crespo
EPhysLab – Universidade de Vigo
📧 alexbexe@uvigo.es
Interested candidates are strongly encouraged to contact the PI before 20 April 2026 for guidance on eligibility, fit, and the application procedure.
Official deadline to submit the full application: 27 April 2026.
PhD Studentship Available at The University of Manchester, UK
This is a fully funded PhD through “The Fusion Engineering Centre for Doctoral Training” at the University of Manchester, UK. Under extreme high heat flux and magnetic fields in confinement fusion, plasma-facing-components (PFC) undergo extreme thermal, structural and chemical stress. Liquid PFCs on the other hand offer a viable solution in the heat flux extraction with Lithium (Li) as a viable alternative. While flowing Liquid Metal (LM) PFCs represent a transformative technology, it is still not well understood. The project will use smoothed particle hydrodynamics (SPH) to simulate the instabilities on flowing
liquid metal PFCs such as the divertor. The Lagrangian and mesh-free characteristics of SPH have dominated the field of free-surface flows where fragmentation of the free surface is present and are ideally suited to liquid metal PFCs. The software for this work is our state-of-the-art open source multiphysics weakly compressible SPH solver DualSPHysics with GPU hardware acceleration, capable of simulation up to 100 million nodes per GPU.
Link to apply with more info: Click here
Contact:
Two (2) PhD Studentships Available at The University of Manchester, UK
1. "PhD Machine learning for violent free-surface flows"
This fully-funded PhD will explore Machine learning for violent free-surface flows. Free-surface flows are a common occurrence in the environmental and renewable energy sectors. Examples include coastal protection within an everchanging climate which puts pressure on coastal structures and disaster mitigation arising from large scale events such a tsunami wave, dam failures and flooding events, extending to wind turbine platforms and wave energy devices, at extreme wave conditions. These flows are characterised not only by the free surface which is the dominant feature of such flows but also large impact forces, fragmentation of the free surface and strong nonlinearities of the flow with a very high Reynolds number. This project will use smoothed particle hydrodynamics (SPH) schemes supplemented with embedded trained neural networks from high fidelity simulations using finite volumes solvers at localised scale to embed turbulence effects and the presence of the second phase to SPH. The target is not only imposing turbulence on the Lagrangian simulation or embedding a pressure field but also alter the kinematics of the Lagrangian CFD scheme with air entrainment from a Machine Learning framework.
Link to apply with more info: Click here
Contact:
2. "PhD Bathymetric lenses: wave focusing for coastal protection"
This fully funded PhD will explore how engineered seabed features can be used to focus, enhance, or dissipate wave energy. Building on recent research showing that certain seabed features can amplify local wave amplitudes by up to 15 times [1], the project will investigate how carefully designed “wave lenses” can boost wave energy extraction or trigger wave breaking for coastal protection. These submerged designs also offer potential ecological benefits compared to traditional structures. Working at the University of Manchester’s new Hydrodynamics Laboratory, you will combine physical experiments with advanced computer modelling techniques, including smoothed particle hydrodynamics (SPH), simplified “linear” wave models, and machine learning to link fast-running models with high-fidelity simulations.
Link to apply with more info: Click here
Contact:
18-mo Postdoctoral Research Associate Position at ASNR with GeoRessources, Univ. Lorraine, Paris Region, France
Are you enthusiastic about...
• Understanding gas migration in clay-rich host rocks
• Simulating two-phase flow on pore-scale with deformation of the solid matrix
• Implementing heat transfer coupling (T) in advanced numerical codes
• Using SPH & LBM DNS approaches and GPU computing to bridge pore to continuum scales
• Developing upscaling strategies, benchmarking with simplified models & exploring PINNs?
If yes, join us to push the frontiers of science and strengthen knowledge for safe deep geological disposal of radioactive waste.
Candidate Profile:
PhD in numerical fluid/solid mechanics
Skills: porous media flow, poromechanics, THM coupling, SPH/LBM, upscaling, PINNs
More information here and here. Contact: magdalena.dymitrowska@asnr.fr