Application inviting for 2025 sessions

PhD Research Scholar Position in Electronic Cooling
Institution: Center of Excellence for Electronic Cooling and CFD Sim Lab
Department: College of Engineering and Technology (CET)
Location: SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, 
India

Position Overview:
We are seeking a highly motivated PhD Research Scholar to join our cutting-edge 
research team in the field of Electronic Cooling. The candidate will work under 
the supervision of experienced faculty and collaborate with an interdisciplinary 
team to explore innovative cooling techniques for electronic systems, including 
the development of advanced thermal management solutions.

Research Focus:
The primary area of research will focus on:

Thermal Management of Electronics: Studying and developing efficient cooling 
techniques for high-power electronic devices and systems.

CFD Simulations: Utilizing Computational Fluid Dynamics (CFD) tools, such as 
ANSYS ICEPAK, to model and analyze heat transfer mechanisms in electronics.

Phase Change Materials (PCMs): Researching the integration of PCMs into cooling 
systems to enhance thermal performance.

Miniaturization of Cooling Solutions: Investigating novel cooling strategies 
like microchannel heat sinks and two-phase cooling for compact electronic 
components.

Nanofluids in Cooling: Exploring the potential of nanofluids in enhancing heat 
transfer in electronic cooling applications.

Experimental Validation: Designing and conducting experiments to validate 
simulation results and improve the reliability of electronic cooling methods.

Key Responsibilities:
Conduct research on advanced cooling systems for electronic components.
Perform CFD simulations and thermal analysis using industry-standard software.
Collaborate with other researchers and industrial partners on joint projects.
Publish high-quality research papers in international peer-reviewed journals and 
conferences.

Present research findings to academic and professional audiences.

Qualifications:
A Master's degree in Mechanical Engineering, Thermal Engineering, or a related 
field.
Strong background in Thermal Management, Heat Transfer, and CFD.
Experience with CFD tools (e.g., ANSYS ICEPAK, Fluent) and experimental methods 
related to electronic cooling is highly desirable.
Excellent analytical and problem-solving skills.
Ability to work independently and as part of a team.

Benefits:
Access to state-of-the-art research facilities, including the Center of 
Excellence for Electronic Cooling and CFD Sim Lab.
Opportunity to collaborate with industry partners and gain exposure to real-
world applications of electronic cooling.
Competitive stipend and funding opportunities for conference presentations and 
publications.

Application Process:
Interested candidates should submit the following documents:

A detailed CV.
Statement of research interests and experience.
Academic transcripts.
Contact information for at least two academic or professional references.

CFD engineer

València (España)

Necessary stack:
Python, JavaScript, Java
xFoil (xflr5), Star-CCM+, OpenFOAM
Salome, FreeCAD, Rhino


We are seeking a CFD Engineer with a 
passion for simulation and data 
visualization to join our team in 
Valencia, Spain.

This is a unique opportunity to work in 
a dynamic and growing studio that is at 
the forefront of technology in the field 
of fluid dynamics.

Responsibilities:

- Utilizing xFoil, OpenFoam, Star-CCM+, 
and other software tools to conduct CFD 
simulations;

- Applying knowledge of aerodynamics, 
hydrodynamics, and naval architecture to 
analyze and interpret simulation 
results;

- Utilizing Python and data 
visualization tools to present results 
in a clear and concise manner;

- Participating in design optimization 
projects to improve product performance;

- Collaborating to identify business 
opportunities and support business 
development efforts.

This is a full-time position with a mix 
of technical and business development 
responsibilities.

If you are a highly motivated individual 
with a passion for fluid dynamics and 
business development, we encourage you 
to apply.

To apply, please submit your CV and, 
only if you want, a cover letter 
outlining your qualifications and 
experience.

We look forward to hearing from you!

A PhD position is available at the Energy Engineering Department, University of 
Sevilla (Spain). 

The position involves a 3+1 years funded contract for research in PEM fuel cells 
CFD modelling, for completing a PhD under the supervision of Prof. Alfredo Iranzo.
Dedicated test benches and experimental facilities are also available for 
experimental validation. 
The position includes funding for research visits to international research 
centres in the field of PEM fuel cell research. 

Due to legal regulations and source of funding, it is compulsary that the 
candidate is a national of a EU member state, and must posses a Master Degree or 
equivalent (300 ECTS).

Interested candidates can apply by sending CV with list of references and 
motivation letter by email. 

Starting date is expected in December 2024 / January 2025.

Full title: ML enhanced analysis and adjoint-based optimization tools for 
cavitating flows in hydraulic turbines


The Doctoral Candidate (DC10) will be hired for 34 months as part of the 
Industry empowerment to Multiphase fluid dynamics simulations using Artificial 
intelligence and Statistical methods on modern hardware architectures at Scale 
(SCALE) project being funded through the Horizon Europe Marie Skłodowska-Curie 
Actions (MSCA) Doctoral Networks. DC10 will be enrolled in the PhD program of 
the School of Mechanical Engineering of the National Technical University of 
Athens (NTUA), Greece. The main objective of DC10 is to develop physics-informed 
and numerics-informed DNNs (Deep Neural Networks) and apply them to shape 
optimization of hydraulic turbomachines. The objective by itself defines the 
scientific fields which DC10 will be working on: (a) Machine Learning (ML), (b) 
Computational Fluid Dynamics (CFD) for multiphase flows and (c) gradient-based 
optimization based on the adjoint method. Applicants should have adequate skills 
in all three of them; with regard to CFD, in particular, the candidate should 
have experience in programming, not only using CFD tools. As written above, the 
application domain will be that of hydraulic turbomachinery. A 4-month 
secondment (within the 34-month project) at ANDRITZ HYDRO (AHS-AT), Linz, 
Austria is scheduled; the purpose of this secondment is to collect data related 
to previous designs and apply the developed tools to industrial cases.

DC10 will use and enhance the in-house GPU-enabled CFD solver PUMA of NTUA for 
the simulation of steady-state, cavitating flows. PUMA is based on the 
Transport-Equation-Mixture model (TEM) where liquid and vapor phases are 
considered as incompressible fluids and the mass transfer rates across them are 
determined using the Kunz model. PUMA also features a continuous adjoint method 
developed for shape optimization purposes. Both the prediction and adjoint-based 
optimization tools have been optimized for GPUs architectures. On the ML side, 
DC10 work will be based on available tools that use a specific two-branch DNNs 
to predict scalar fields; these DNNs have been used as surrogates of modeling 
tools in the framework of multi-disciplinary optimization, for example to 
replace turbulence and/or transition models to reduce the cost of RANS solvers. 
Enhancing, modifying and collating the mentioned codes, but also developing new 
methods to produce an efficient, accurate, reliable and low-cost tool for the 
optimization of hydraulic turbines will be the central task of DC10.


Requirements
Research Field Engineering: Mechanical engineering
Education Level: Master Degree or equivalent

Skills/Qualifications
Candidates should have a strong background in CFD, especially for hydraulic 
turbomachines. In order of importance, they should possess good programming 
skills in C++ (mandatory) and CUDA-C (i.e. the programming environment of PUMA) 
and experience in using high-performance computing centers. Experience in 
using/developing optimization methods is welcome. This is a position in the 
field of CFD for incompressible/cavitating flows, in rotating machines, not 
based on commercial CFD s/w. Though experience in using commercial CFD s/w is 
welcome and surely helps, this position requires good programming skills and is 
addressed to programmers, rather than just users, of CFD s/w. Background 
knowledge regarding Machine Learning and Deep Neural Networks is required. 
Programming skills in Python and deep learning frameworks (preferably TensorFlow 
and TensorFlow C++ API) are mandatory (the first) and welcome (the second).

Languages ENGLISH
Level Excellent

Benefits
The selected candidate will receive a salary in accordance with the MSCA 
regulations for DCs. The minimum gross salary includes a living allowance 
(€3374.4 per month), a mobility allowance (€600 per month) and a family 
allowance (€660 per month), if the researcher has family (‘Family’ means persons 
linked to the researcher by (i) marriage or (ii) a relationship with equivalent 
status to a marriage recognised by the legislation of the country where this 
relationship was formalized or (iii) dependent children who are actually being 
maintained by the researcher). The guaranteed (EC) funding is for 34 months.

Eligibility criteria
Applicants can be of any nationality and must hold a Master of Science degree 
(or equivalent) in engineering. They need to fully respect the following 
eligibility criteria: (a) Must be doctoral candidates, i.e. not already in 
possession of a doctoral degree at the date of the recruitment. (b) Must 
undertake transnational mobility. Researchers must not have resided or carried 
out their main activity (work, studies, etc.) in Greece for more than 12 months 
in the 36 months immediately before their date of recruitment. Compulsory 
national service, short stays such as holidays, and time spent as part of a 
procedure for obtaining refugee status under the Geneva Convention are not taken 
into account.

Selection process
The candidates should send a CV, cover letter (in which the applicant’s 
experience in CFD development should become clear), BSc and MSc degrees 
(certified copies plus translation in English), and two letters of 
recommendation are necessary. Copies of publications could be sent later on, 
upon request. Personal interviews might be asked.

All applications should be mailed to kgianna@mail.ntua.gr (email subject: 
“SCALE-DC10-Application”).

The outcome of the evaluation process will be announced by mid of October 2024. 
The 34-month contract is expected to start around 01/11/2024.

Additional comments
DC10 will be working (excluding the secondment) at the Zografou Campus of NTUA 
in Athens, Greece. The PCOpt/NTUA group consists of about 15 people, including 4 
experienced researchers, among which the major developers of the PUMA and its 
adjoint code. Apart from the PhD thesis supervisor (Prof. K. Giannakoglou), 
researchers of the PCOpt/NTUA Unit with previous experience in similar tasks 
(CFD code running on GPUs, adjoint methods, shape parameterization, cavitation 
models, turbomachinery) will support DC10 in her/his project/PhD. The PCOpt/NTUA 
Unit possesses a powerful multiprocessor platform, including both CPU and GPU 
clusters, which is expected to be upgraded during the project life; this will 
support research to be performed by DC10.

Work Location
Company/Institute: National Technical University of Athens
Country: Greece
City: Athens

We are seeking a candidate with experience in research focused on the numerical 
approximation of fluid dynamics problems. The role will prioritize the development of 
numerical techniques aimed at reducing complexity, including methods such as POD-Reduced 
Basis and Machine Learning. Research will involve high-level programming languages 
(C/C++/Python) and open-source libraries for scientific computing and machine learning 
(e.g., OpenFOAM, numpy, scipy, pyTorch, pandas). The work will focus on numerical 
simulations of urban air pollution diffusion for environmental flows in both urban and 
natural settings.

The ideal candidate will possess strong communication skills in English, excellent social 
skills, and the ability to handle engineering and mathematical projects independently and 
in a team setting. A PhD is not required for this position, though candidates interested in 
pursuing a PhD are particularly encouraged to apply.

Interested candidates are encouraged to apply at this link (applications by email will not 
be considered):

https://www.santannapisa.it/en/node/279416

1) Context

Join EDF (Electricity of France) in pioneering the future of dam safety!

With over 250 dams under our vigilant watch across France, we are committed to ensuring their
resilience and reliability. Our dams are equipped with advanced spillway structures (EVC) to address
critical safety concerns. As part of our team, you will delve into the dynamic analysis of spill
behavior over the crowning, rigorously assessing the stability of support structures under varying
load conditions. This role demands a deep dive into the physics of overflowing blades, enhancing our
control over installation safety and pushing the boundaries of engineering excellence.

Your research will delve into the fascinating dynamics of water jet pressure from dam spillways. You
will characterize the behavior of overflowing liquid jets, propose innovative design modifications to
flood spillways aimed at mitigating water pressure impacts, and develop sophisticated numerical models
to simulate these water jet spillways. This role offers a unique opportunity to contribute to the
advancement of dam safety and engineering innovation.

2) Objectives

The primary objectives of this Ph.D. thesis are:
- To understand the physical mechanisms of water jet spillways destabilization and stabilization.
- To propose design changes to flood spillways.
- To propose, improve, and develop Finite Volume numerical models using Euler-Euler (EE) two-fluid
 or Volume of Fluid (VoF) approach (choice to be revised at the beginning of the thesis and/or during
 a previous internship described below). 

Ideally, a 5-month internship is available for potential candidates before the doctorate
(URL link for more information).

The internship will focus on the viability of reproducing water-air interface instabilities during
spills using existing/proposed turbulence and numerical models (RANS and LES). Two numerical approaches
would be tested/compared, the EE and VoF method already available respectively in neptune_cfd
and code_saturne software.

3) Work Environment

The research will be conducted between CORIA (a Joint Research Unit attached to the Institute of
Engineering and Systems of CNRS) and EDF (Electricity of France). The work will build upon a Post-Doc
research (2020), which evolved the ELSA (Euler-Lagrange Spray Atomization) model to account for
gravity in the destabilization/stabilization of the liquid-air interface, and a Ph.D. thesis (2023),
which reproduced the PDF of pressures at the base of the fall by finely reconstructing the liquid-air
interface near the impact zone. The stratified/dispersed multi-regime numerical model of neptune_cfd
will be used to focus mainly on large structures of the flow.

4) General information

5-month internship plus 3-year PhD thesis, at the EDF laboratory, Chatou, France.
- Contract start date: preferably 4th November 2024
- Funding: 100% EDF
- Academic supervisor : François-Xavier Demoulin (CORIA)
- Industrial supervisor : Yvan bercovitz, Javier Anez (EDF)
- Contacts: Yvan Bercovitz (yvan.bercovitz@edf.fr)

5) Applicant Profile

The ideal candidate should be:
- Autonomous: Capable of working independently and taking initiative.
- Proactive: Able to anticipate problems and take action to prevent them.
- Motivated: Driven to achieve goals and continuously learn and improve.
- Curious: Interested in learning more about the field and exploring new ideas.
- Team Spirit: Able to work well in a team and contribute to a positive working environment.
- Resilient: Able to persevere through complicated tasks and challenges.

This is an exciting opportunity to contribute to important research in the field of hydrodynamics.
Your research could potentially revolutionize the design of flood spillways and contribute to safer
and more efficient hydroelectric power plants. This is not just a Ph.D. thesis, but a chance to make a
real-world impact. We look forward to receiving your application.

Application procedure:

   - Send CV, cover letter and Grades from Master 1 and 2 or equivalent engineering level to javier.anez-perdomo@edf.fr 
   - Applications are to be sent before 31st October 2024.
   - Incomplete applications will not be considered.

The Department of Mechanical Engineering of the University Rovira i Virgili of Tarragona is looking for an outstanding and committed candidate for PhD studies in the field of computational and experimental fluid dynamics.

PROJECT TITLE: Carbon dioxide capture and dissolution in turbulent and laminar flows under different rheological conditions with implications in decarbonization processes

REQUIREMENTS: Candidate should have a graduate degree in a relevant engineering,  mathematics or physics subject, and be highly motivated to undertake research in this field. Candidates with a background in computational and/or experimental  fluid dynamics are strongly encouraged to apply. 

STUDENTSHIP: Gross monthly payment of the contract during the first year of  24,600€, plus the corresponding fees for thesis supervision. The amount for the second, third and fourth years is 30,200€. 

DURATION: contracts will have an initial duration of one year and will be  extended for a maximum of four years provided that the thesis supervisor has submitted a favourable report and in accordance with the academic committee of the doctoral programme.

APPLICATION PROCESS: If you're interested in, please send us your CV to the address lluis.vazquez@urv.cat.

DEADLINE: September 30th, 2024

HOST INSTITUTION: The Universitat Rovira i Virgili (URV) is based in the province of Tarragona on the Mediterranean coast and surrounded by areas of great natural beauty.

The URV is a modern public higher education institution with a proud and widely  recognized track record in providing teaching and research. It is a university  with a strong commitment to find solutions to the challenges facing society  through the generation of knowledge and the provision of education that produces highly trained and discerning professionals and citizens. 

Since 2019, it is member of Aurora Alliance, a consortium of research intensive  universities deeply committed to the social impact of their activities.

Every year, more than 1.150 PhD students initiate their doctoral studies in the  URV, in one of the 26 Doctoral Programs available.

The thesis will be developed in the Doctoral Program Nanoscience, Materials and  Chemical Engineering. The aim of this programme is to provide future  professionals with a strong sense of innovation in nanoscience, materials  chemistry and chemical engineering who are especially oriented towards  conducting research in public institutions or industry. Research lines include  nano(bio)technology, biosensors, lasers, fluid mechanics, heterogeneous  catalysis and all areas of chemical engineering, such as process and product  engineering, transport phenomena, environmental science, biotechnology and food  technology. The programme strengthens students’ research capabilities through  theoretical and/or experimental project while stressing the importance of  disseminating and publishing results, promoting mobility and academic exchanges  and encouraging collaboration with local and national industries.

For further information about the program, visit:
 http://www.doctor.urv.cat/en/prospective-students/courses/7710/index/

The thesis will be carried out in the facilities of the ECoMMFiT Research group. Examples of the experience of the group in simulation and experiments of multiphase flows can be found in:
 
Sassi et al. (2022) Effect of solid particles on the slug frequency, velocity and length of intermittent gas-liquid two-phase flows in horizontal pipelines, International Journal of Multiphase Flow, 149, 103985. DOI: 10.1016/j.ijmultiphaseflow.2022.103985
 
Pallares et al. (2023) Numerical simulations of the flow and aerosol dispersion in a violent expiratory event: Outcomes of the “2022 International Computational Fluid Dynamics Challenge on violent expiratory events”, Physics of Fluids, 35, 045106, DOI: 10.1063/5.0143795
 
Kazemi et al. (2024) Numerical investigation of a pair of in-line bubbles rising in Newtonian and non-Newtonian fluids with interfacial passive scalar transfer, Physics of Fluids 36, 022106, DOI: 10.1063/5.0185472

*Subject (Title)
CFD modeling and simulation of pollutants dispersion in urban environment

*Keywords
Modeling and Simulation, Computational Fluid Dynamics (CFD), Aerodynamics, Particles
Dispersion, High Performance Computing, Turbulence, Environmental Engineering

*Hosting Entities
The University of Rouen Normandy (https://www.univ-rouen.fr/), with its strong multidisciplinary
identity, is a major player in training and research in Normandy region and in France. It pays
particular attention to overcome the challenges of higher education and contribute to the overall
economic and social development of its territory. Created in 1967, CORIA, “Complexe de
Recherche Interprofessionnel en Aérothermochimie" (https://www.coria.fr/en/the-lab/), is a Joint
Research Unit (UMR 6614) CNRS and the University of Rouen Normandy.

*Research Context
This research internship is a part of a large project “HÉLIOS” entitled “De la caractérisation
spatiale, sanitaire et sociale des pHÉnomènes d'îLots de chaleur urbaIns à l'exploration et
l'évaluation de solutiOns d'adaptation fondéeS sur la nature” by 5 lcoal region communities (Le
Havre, Métropole Rouen Normandie, Mantes-la-Jolie, Communauté d'Agglomération de Cergy-
Pontoise, Argenteuil) in collaboration with CORIA Lab, other labs and T.URN institute
(https://www.univ-rouen.fr/actualites/decouvrez-linstitut-t-urn/). This internship is also in a global
context of developing a multi-risk platform in Normandy region in France (e.g. for floods, fires and
particles dispersion, air pollution dispersion, among others). One of the missions is to predict
accurately the local urban heat island effects and local heat waves at the scale of the city.

*Objective
The main objective is to develop, implement and validate a mesoscale model in CFD to take into
account the air pollutants dispersion in outdoor microclimate and their local interaction with
vegetation and green spaces. The latter usually modifies the mean flow motion into wake turbulence
where the smaller length scales compared to the turbulence generated by the shear flow induces a
fast dissipation. This will allow to investigate how local trees in the métropole region can contribute
1to the local interaction with air pollutants dispersion outdoors under different wind speeds, air
conditions, solar radiation and stomatal resistance.
The major 3 work packages in this internship are the following:
1- Take into hands the CFD code OpenFOAM® and implement a new turbulence-modified models
2- Define and solve a bench 3D CFD case to validate the newly implemented turbulence models
3- Define and solve a 3D CFD case of the métropole that will investigate/predict the effects of
different scenarios of local wind speeds, air conditions, solar radiation and stomatal resistance.

*Required Profile
Scientific Background: Student currently in Master-2 (M.Sc.) in the fields of computational fluid
dynamics, environmental engineering, aerodynamics, turbulence, heat and mass transfer, continuum
modeling of air pollutants dispersion, advection of concentration of pollutant particles. Experience
within OpenFOAM® in particular would be a plus (https://www.openfoam.com/).

*Skills: Taste for modeling and numerical simulation in CFD, in-depth notions in fluid mechanics
and turbulence, and aerodynamics in presence of obstacles and immersed objects. Interest in high
performance and parallel computing within CFD. Good taste for a teamwork and a good level of
Scientific English, speaking, reading and writing.

*Supervisors
Prof. DBOUK Talib (CORIA), Prof. REVEILLON Julien (CORIA), Dr. GEFFROY Alexandre (T.URN)

*Remuneration
≈600 € /month

*Apply
Please send your CV and motivation letter to the following email addresses:
talib.dbouk@coria.fr
julien.reveillon@coria.fr

*References
Amorim, J.H., Rodrigues, V., Tavares, R., Valente, J., Borrego, C., 2013. CFD modelling of the
aerodynamic effect of trees on urban air pollution dispersion. Sci. Total Environ.
461, 541–551. https://doi.org/10.1016/j.scitotenv.2013.05.031

*Hosting Institute
The University of Rouen Normandy (https://www.univ-rouen.fr/), with its strong
multidisciplinary identity, is a major player in training and research in 
Normandy region and in France. It pays particular attention to overcome the 
challenges of higher education and contribute to the overall economic and social 
development of its territory. Created in 1967, CORIA, “Complexe de Recherche 
Interprofessionnel en Aérothermochimie" (https://www.coria.fr/en/the-lab/), is a 
Joint Research Unit (UMR 6614) CNRS and the University of Rouen Normandy.

*Research Context 
This research internship is a part of a large project “HÉLIOS” entitled “De la 
caractérisation spatiale, sanitaire et sociale des pHÉnomènes d'îLots de chaleur 
urbaIns à l'exploration et l'évaluation de solutiOns d'adaptation fondéeS sur la 
nature” by 5 lcoal region communities (Le Havre, Métropole Rouen Normandie, 
Mantes-la-Jolie, Communauté d'Agglomération de Cergy-Pontoise, Argenteuil) in 
collaboration with CORIA Lab, other labs and the T.URN institute 
(https://www.univ-rouen.fr/actualites/decouvrez-linstitut-t-urn/). 
This internship is also in a global context of developing a multi-risk platform 
in Normandy region in France (e.g. for floods, fires and particles dispersion, 
air pollution dispersion, among others). One of the missions is to predict 
accurately the local urban heat island effects and local heat waves at the scale 
of the city.

*Objective
The main objective is to develop, implement and validate a mesoscale model in CFD to 
take into account the urban trees effect on the outdoor microclimate by coupling a 
canopy energy balance (CEB) models. This will allow to investigate how local trees in 
the métropole region can affect outdoor microclimate under different wind speeds, 
air conditions, solar radiation and stomatal resistance.
The major 3 work packages in this internship are the following:
1- Take into hands the CFD code OpenFOAM® and implement a new CEB model
2- Define and solve a bench 3D CFD case to validate the newly implemented CEB model 
3- Define and solve a 3D CFD case of the métropole that will investigate/predict 
   the effects of different scenarios of local wind speeds, air conditions, solar 
   radiation and stomatal resistance.

*Required Profile
Scientific Background: Student currently in Master-2 (M.Sc.) in the fields of computational 
fluid dynamics, aerodynamics, turbulence, heat and mass transfer. 
Experience within OpenFOAM® in particular would be a plus (https://www.openfoam.com/).

*Skills: Taste for modeling and numerical simulation in CFD, in-depth notions in fluid mechanics 
and turbulence, and aerodynamics in presence of obstacles and immersed objects. Interest in 
high performance and parallel computing within CFD. Good taste for a teamwork and a good level of 
Scientific English, speaking, reading and writing.

*Supervisors
Prof. DBOUK Talib (CORIA), Prof. REVEILLON Julien (CORIA), Dr. GEFFROY Alexandre (T.URN)

*Remuneration
about 600 € /month

*Apply
Please send your CV and motivation letter to the following email addresses:
talib.dbouk@coria.fr
julien.reveillon@coria.fr

*References
Schwaab, J., Meier, R., Mussetti, G. et al. The role of urban trees in reducing 
land surface temperatures in European cities. Nat Commun 12, 6763 (2021).
https://doi.org/10.1038/s41467-021-26768-w

Initially based on an explicit weakly compressible approach, the Smoothed Particle Hydrodynamics (SPH) method is a meshless and Lagrangian particle method offering large advantages for solving complex CFD problems. In particular, the absence of an underlying grid allows simulations involving strong deformations of the fluid interface, possibly with disconnections/reconnections and in coupled interactions with deformable geometries.
However, the weakly compressible explicit character of the scheme imposes small time steps through a CFL condition, responsible for possibly high calculation times.
This PhD project concerns the development of an incompressible SPH scheme, making it possible to partially or totally relieve the constraints linked to the CFL condition and to drastically speedup the simulations, while retaining the advantages inherent in this specific method.
This research work revolves around three axes:
- Work on an incompressible SPH scheme oriented towards multiphase flows
- Research on a surface tension model compatible with the selected scheme
- Development of a phase change model compatible with the selected scheme
These developments will be applied and validated on several benchmarks, involving strong deformations of the free surface in interaction with complex geometries.


Conditions:
The PhD thesis will take place at LHEEA (Ecole Centrale Nantes, France), within a development team specializing in the SPH method.

Gross monthly salary: 2150 euros

Required documents to apply: CV, letter of interest and transcripts for the last two years

Application deadline: March 2025

https://lheea.ec-nantes.fr/version-francaise/offres-demplois-de-theses-et-de-stages-au-lheea