SPH Jobs
Do you have an opening for someone interested in SPH (Ph.D., Post-doc, faculty position) that you would like to be advertised?
Send an e-mail to the SPHERIC webmaster (see Steering Committee page).
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:
4-Year Predoctoral Position at EPhysLab, Universidade de Vigo, Ourense, Spain
We are looking for a motivated PhD candidate to join the EPhysLab Group (Universidade de Vigo) under the FPI 2025 programme linked to the national project AURORA-NUM (PID2024-155465OB-C21), part of the coordinated project AURORA, in collaboration with the Universitat Politècnica de Catalunya (UPC).
🧩 About the project
AURORA-NUM aims to develop, validate, and apply an advanced Smoothed Particle Hydrodynamics (SPH) model to study the stability and resilience of breakwater armor units under extreme waves and climate change scenarios.
The research combines high-resolution numerical simulations (DualSPHysics–Chrono), experimental validation at international laboratories, and applications to real ports in the North of Spain.
🧠 Main tasks
Development and implementation of new functionalities in DualSPHysics (boundary conditions, porous media, variable resolution, multi-GPU parallelization).
Model validation using experimental data from AURORA-UPC.
Application of validated models to real breakwaters under present and future climate scenarios.
Participation in scientific publications, conferences, and knowledge transfer activities.
🎓 Requirements
Eligibility for enrollment in a PhD programme at Universidade de Vigo (2025–2026).
Preferred background: Civil, Industrial, Aerospace, or Computer Engineering; Applied Physics; Mathematics; or related areas.
Valued skills:
Numerical modelling, fluid dynamics, CFD/SPH/DEM methods
Programming in C++/CUDA, Python, or MATLAB
Experience with GPU computing
Strong written and spoken English
🌟 Additional merits
Prior research experience or collaboration in hydrodynamic or coastal modelling projects
Familiarity with DualSPHysics or other CFD tools
Data analysis and scientific visualization skills
Teamwork and result-oriented attitude
📬 Contact
Prof. Alejandro J. Cabrera Crespo
EPhysLab – Universidade de Vigo
📧 alexbexe@uvigo.es
Interested candidates should contact the PI before 24 October 2025 for further details.
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