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► Multiple PhD Positions in Fluid Structure Interaction , Florida State University
    3 Mar, 2024 
Job Record #18865
TitleMultiple PhD Positions in Fluid Structure Interaction
CategoryPhD Studentship
EmployerFlorida State University
LocationUnited States, FL, Tallahassee
InternationalYes, international applications are welcome
Closure Date* None *
Description:

Multiple Ph.D. Positions – Computational Fluid Dynamics and Fluid-Structure Interaction

 

Two PhD positions are available in the Computational and Theoretical Multiphysics Laboratory (https://eng.famu.fsu.edu/~kshoele/CTML ) in the Department of Mechanical Engineering at the Florida State University (https://eng.famu.fsu.edu/me). Research projects will involve interdisciplinary computational and theoretical investigations of fluid structure interaction of flexible panels and turbulent flow over flexible surfaces.


The following skills/certifications/interests are relevant to the positions:

- An undergraduate degree in engineering or related fields with a solid background in fluid mechanics. Candidates who have already obtained a master's degree are strongly encouraged to apply.

- Previous research experience is highly desirable. Desirable research skills include computational fluid dynamics, and programming (Fortran and C++).

- Strong oral and written communication skills.

- Interest in new topics and interdisciplinary research

 

Review of applications will begin immediately. To apply, please email a single PDF file containing a cover letter outlining your availability, CV, unofficial transcripts, and contact information for references to Dr. Kourosh Shoele (kshoele@fsu.edu). Please include the phrase "PhD-CFD" in the Subject line of the email.

 

 

 

Contact Information:
Please mention the CFD Jobs Database, record #18865 when responding to this ad.
NameKourosh Shoele
Emailkshoele@fsu.edu
Email ApplicationYes
Address2003 Levy Avenue, The Florida State
Record Data:
Last Modified14:16:58, Sunday, March 03, 2024

► Postdoc or PhD in ROM coupled to OPENFOAM, BTU Cottbus Senftenberg
    2 Mar, 2024 
Job Record #19024
TitlePostdoc or PhD in ROM coupled to OPENFOAM
CategoryJob in Academia
EmployerBTU Cottbus Senftenberg
LocationGermany, Brandenburg, Cottbus
InternationalYes, international applications are welcome
Closure DateThursday, March 21, 2024
Description:
The Scientific Computing Lab (SCL) at BTU Cottbus-Senftenberg has open 
positions for a Postdoc, Ph.D. and/or M.Sc. in coupling reduced order models (ROM) 
and/or stochastic turbulence models to OpenFoam type open source tool boxes to 
investigate energy related problems. This project is a part of ongoing activities 
within the newly-created SCL which is part of the Energy Innovation Center (EIZ) 
at BTU.

The project focuses on developing and coupling advanced numerical low order 
approaches in a model adaptive way to OpenFoam or similar CFD tool boxes.

The main responsibilities will lie in:

- coupling different ROMs to OpenFoam 
- validation against DNS or experiments 

The potential candidates should have:

- a strong background in fluid mechanics and CFD (DNS or LEs preferred)
- experience with Linux and strong hands-on experience with computing in at least 
one programming language (e.g. C/C++, Python, ...)
- experience in developing numerical models, codes, and computational algorithms
- familiarity with OpenFoam

The position is available from now on (the actual starting date can be 
negotiated). Please send the following documents only via email to 
heischmi@protonmail.com using the subject "SCL_ROM":

- Recent CV
- Relevant Transcripts
- Two-page cover letter including a motivation  

Please ensure you submit all required documents. Only qualified candidates might 
be contacted for an online-interview.
Contact Information:
Please mention the CFD Jobs Database, record #19024 when responding to this ad.
NameHeiko Schmidt
Emailheischmi@protonmail.com
Email ApplicationYes
Record Data:
Last Modified11:05:59, Saturday, March 02, 2024

► Postdoc/PhD/Master in lower order wind energy modeling, BTU Cottbus Senftenberg
    2 Mar, 2024 
Job Record #19023
TitlePostdoc/PhD/Master in lower order wind energy modeling
CategoryJob in Academia
EmployerBTU Cottbus Senftenberg
LocationGermany, Brandenburg, Cottbus
InternationalYes, international applications are welcome
Closure DateThursday, March 21, 2024
Description:
The Scientific Computing Lab (SCL) at BTU Cottbus-Senftenberg has open 
positions for a Postdoc, Ph.D. and/or M.Sc. in Numerical Modeling of Wind Farms. 
This project is a part of ongoing activities within the newly-created SCL which is 
part of the Energy Innovation Center (EIZ).

The project focuses on developing and coupling advanced numerical tools for 
integral wind farm modeling in complex environmental terrains and under realistic 
atmospheric conditions. During this process, fundamental questions related to the 
incoming wind field, wake-structure interaction, wake mitigation strategies and 
wake control, influence of the atmospheric stability and roughness effects, will 
be explored. During the project the application of stochastic models, ROM and 
physics-informed NN will play a key role. 

The main responsibilities will lie in:

- coupling different modules of the code to perform an integral simulation of the 
wind park in complex terrain interacting with stratified flows 
- validation  
- incorporation of control strategies
- coupling weather models
- comparison to field data 

The potential candidates should have:

- a strong background in fluid mechanics and CFD (DNS, LES preferred)
- experience with Linux and strong hands-on experience with computing in  C/C++ or 
Python
- experience in developing numerical models, codes, and computation algorithms
- experience with CFD using FEM and/or FVM
- familiarity with OPENFAST or QBlade

The position is available from now on. Please send the following documents only 
via email to heischmi@protonmail.com using "SCL":

- Recent CV
- Relevant Transcripts
- Two-page cover letter including a motivation  

Please ensure you submit all required documents. Only qualified candidates might 
be contacted for an online-interview.

Contact Information:
Please mention the CFD Jobs Database, record #19023 when responding to this ad.
NameH. Schmidt
Emailheischmi@zedat.fu-berlin.de
Email ApplicationYes
URLhttps://www.researchgate.net/profile/Heiko-Schmidt-2
Record Data:
Last Modified11:03:24, Saturday, March 02, 2024

► Computational Modeling of Hypersonic Flow and Plasma Physics, University of North Dakota, Mechanical Engineering
    1 Mar, 2024 
Job Record #18695
TitleComputational Modeling of Hypersonic Flow and Plasma Physics
CategoryPhD Studentship
EmployerUniversity of North Dakota, Mechanical Engineering
LocationUnited States, North Dakota, Grand Forks
InternationalYes, international applications are welcome
Closure DateMonday, April 01, 2024
Description:
Ph.D. Positions in Computational Modeling of Hypersonic Flow and Plasma Physics


About this position:

The Computational Gas Dynamics and Plasma Physics Lab in the Department of 
Mechanical Engineering (https://engineering.und.edu/academics/mechanical/) at the 
University of North Dakota is looking for applications for funded Ph.D. positions 
with a start date of Fall 2024. The successful candidate will carry out 
computational research on the modeling and simulation of hypersonic flow and 
plasma physics, using both continuum and kinetic theory methods coupled with high 
performance computing. They will have the opportunity to participate in existing 
and be encouraged to pursue new collaborative research.


Qualifications:

The ideal candidate should have earned a B.S. and M.S. degree in Aerospace 
Engineering, Mechanical Engineering, Chemical Engineering, Materials Engineering, 
Applied Mathematics, Chemistry, Physics, or a closely related field.

Preferred qualifications include:

•  Strong background in fluid dynamics, computational fluid dynamics, statistics, 
and numerical methods and analysis.
•  Strong programming ability in C++, Python, or other object-oriented programming 
languages.
•  Experience developing numerical methods and computer code.
•  Experience with high performance computing.


To Apply: Please email Dr. Chonglin Zhang at chonglin.zhang@und.edu with the 
subject line "Ph.D. Application", including a brief cover letter, your CV, and 
unofficial transcripts in a single PDF file. I receive large amount of 
applications and please only use the above subject line in your email. Otherwise I 
will not be able to locate your email and review your application. The review 
process will commence immediately and will continue until the positions are 
filled.
Contact Information:
Please mention the CFD Jobs Database, record #18695 when responding to this ad.
NameChonglin Zhang
Emailchonglin.zhang@und.edu
Email ApplicationYes
Phone(701)-777-4475
URLhttps://engineering.und.edu/academics/mechanical/
AddressUpson II Room 266
243 Centennial Dr Stop 8359
Grand Forks, ND 58202-8359
Record Data:
Last Modified18:41:18, Friday, March 01, 2024

► Fully funded PhD student (PR-DNS) in Sweden, Lulea University of Technology, Div. Energy Science
    1 Mar, 2024 
Job Record #19022
TitleFully funded PhD student (PR-DNS) in Sweden
CategoryPhD Studentship
EmployerLulea University of Technology, Div. Energy Science
LocationSweden, Lulea
InternationalYes, international applications are welcome
Closure DateFriday, March 29, 2024
Description:
The position is funded by Swedish Research Council through the project " Heat 
and Mass Transfer of Reactive Porous Particles” and is expected to start in 
September 2024 (negotiable). Current starting salary is 34100kr/month (before tax).

The purpose of this project is to contribute to the development of a high-
fidelity simulation model for the development of low-carbon technologies, such 
as biofuel production and thermochemical energy storage. Particularly, the 
project focuses on heat and mass transfer inside reacting fuel particles and in 
their surroundings. The main aims are to build a better understanding of how 
different types of chemical reactions affect intra-particle transport phenomena, 
different pore size distribution affects the transport phenomena, and internal 
and external transport phenomena interact under various conditions of 
surrounding flows.

The majority of this project will be carried out by particle-resolve direct 
numerical simulations (PR-DNS). With the new insight obtained from the 
simulations, we will also aim to develop simple closure models describing the 
above effects. The project will fill the knowledge gap that must be closed 
before one can build a reliable and efficient simulation tool for pulverised 
biomass combustion and gasification, but that is also applicable for any gas-
solid reaction systems, such as metal combustion, in part.

You will have three supervisors who support you in your work (Prof. Umeki, Adj 
Prof. Haugen, and Prof. Sayadi).

Duties
- Execution of research project
- Communication of your results in scientific journals and international 
conferences
- Study third-cycle courses
- Teaching assistant (optional)

Qualifications
Master’s degree in applied physics, chemical engineering, mechanical 
engineering, or equivalent (incl. those who are expecting a master’s degree 
during the first half of 2024)

Additional requirements
- Very good oral and written proficiency in English
- Good theoretical background in numerical analysis
- Documented programming skills
- Good skills in academic writing
- Ability to work independently and take own initiatives as well as - being able 
to penetrate new research areas on your own

The following competencies and knowledge are meritorious
- Experiences in computational fluid dynamics
- Knowledge of multiphase flows
- Knowledge of transport phenomena
- Knowledge of chemical reaction kinetics
- Thermochemical conversion technologies.
Contact Information:
Please mention the CFD Jobs Database, record #19022 when responding to this ad.
NameKentaro Umeki
Emailkentaro.umeki@ltu.se
Email ApplicationNo
URLhttps://www.ltu.se/en/about-the-university/work-with-us/job-vacancies?rmjob=7850
Record Data:
Last Modified15:42:52, Friday, March 01, 2024

► Optimization of Carbon Sequestration in Porous Reservoirs, INSA Rouen Normandie
    1 Mar, 2024 
Job Record #19021
TitleOptimization of Carbon Sequestration in Porous Reservoirs
CategoryPhD Studentship
EmployerINSA Rouen Normandie
LocationFrance, Normandie, Rouen
InternationalYes, international applications are welcome
Closure DateWednesday, May 15, 2024
Description:
This project is simply a start of a new direction of collaboration between one of the main French laboratories 
(CORIA laboratories) and one major international Canadian institute (Sherbrooke University) in training and 
research, in one of the main research priorities of Normandie Region, i.e. towards zero carbon society. 

This project addresses the global challenge of reducing carbon emissions in alignment with the Paris Climate 
Agreement's goal of limiting global warming. Focusing on carbon sequestration, we aim to capture and store 
CO2 emissions from major sources like steel, power, and cement plants. By utilizing abandoned coal mines 
and innovative technologies, the project explores the potential to store at least 41.6 billion tons of CO2. 
Economic, regulatory, and technological challenges exist, but France and Canada, with their strategic 
resources, are promising candidates for this project implementation.

The project's core challenge involves understanding complex fluid flow and transport phenomena in porous 
media during CO2 geo-sequestration. Current limitations in predicting reservoir behavior stem from the vast 
temporal and spatial scales at play. Current project proposes a novel approach, employing an innovative 
pore-scale model to simulate CO2 injection into porous media, considering the unique thermodynamic states 
of CO2 and H2O. Unlike conventional methods, we propose an improved equation-of-state formulation to 
ensure more accurate predictions, addressing critical and supercritical regions. This is done after the 
meticulous validation of the models with laboratory data of the Candian partner. This project represents an 
innovative approach to carbon sequestration, leveraging abandoned mines and advanced technologies to 
address the global imperative of reducing carbon emissions in the pursuit of a sustainable future.

The accepted candidate will spend 18 months in INSA Rouen Normandie, France and 18 months in University 
of Sherbrooke, Canada. The PhD position is fully funded for both stays in France and Canada. The successful 
candidate will receive two PhD degrees (1 from each institute).

We are looking for a strong candidate who will be able to become fully involved with the project, with a thirst 
for knowledge, a certain independence of thought and strong motivation and a very good background in the 
field of CFD and high-performance computing. For following skills are essential for the candidate:

•	Recent Master degree in the field of fluid mechanics/chemical/environmental engineering specializing in 
Computational Fluid Dynamics;
•	Sound knowledge of programming languages (C/C++/Fortran, etc..), ideally with experience in Lattice 
Boltzmann method(LBM)  and High Performance Computing;
•	Previous production of data analysis for a massively parallel code is a big plus;
•	Fluent English, both written and spoken;
•	Ability to work in a team on multi-disciplinary projects 

Interested candidates are encouraged to send their CV, at least 1 recommendation letter and the list of 
passed courses with their GPA to Dr. Shadloo by mid May 2024 ( msshadloo@coria.fr ).


Contact Information:
Please mention the CFD Jobs Database, record #19021 when responding to this ad.
NameMostafa Shadloo
Emailmsshadloo@coria.fr
Email ApplicationYes
Record Data:
Last Modified01:13:53, Friday, March 01, 2024

► CFD study of hot gases effects in rocket nozzles, Cofunding CNES - INSA Rouen Normandy (CORIA)
    1 Mar, 2024 
Job Record #19020
TitleCFD study of hot gases effects in rocket nozzles
CategoryPhD Studentship
EmployerCofunding CNES - INSA Rouen Normandy (CORIA)
LocationFrance, Normandy, Rouen
InternationalYes, international applications are welcome
Closure DateWednesday, May 01, 2024
Description:
Supersonic rocket nozzles are critical components of the propulsion systems. Optimizing the performance 
and efficiency of these engines is crucial for reducing costs and enhancing the reliability of space missions. 
One of the major challenges in supersonic nozzle design is considering the effects of hot gases and variable 
thermodynamics on propulsive jet behavior during both ignition, startup and throughout the mission. These 
factors directly influence the jet stability, the possible boundary-layer separation and its interaction with 
shock waves, mixing layes, acoustics, supersonic jets.

This study aims to model propulsive jet behavior in rocket nozzles in the presence of hot gases (combustion 
products) and the associated heat transfers. The concerns are those of the ATAC group. The objective is to 
extend the studies conducted so far on nozzle models operating with ambient air to more complex situations, 
considering the thermal reality of the engine. The interest of this study is twofold: (1) to understand the 
extent to which the knowledge gained in cold gases can be extended to hot gases, and (2) to improve the 
overall understanding of boundary-layer separation phenomena and shock formation and interaction in the 
presence of hot, multi-species, and possible reactive gases. One of the problems that still remains poorly 
understood is undoubtedly the origin of the very high thermal loads observed at the nozzle exit in the end-
effect regime. Although recompression (following the onset of separation) remains a very important factor in 
thermal heating, other elements can also come into play, such as possible post-combustion at the foot of the 
separated shock and along the supersonic mixing layer. It is, therefore, particularly important to conduct a 
reliable numerical study that can aid in the understanding of these very complex physical problems. The 
specific objectives are as follows:

• Fine characterization of the properties of combustion gases in a supersonic nozzle through modeling of the 
chemical composition of burned gases (considering a complete kinetic scheme in the case of Lox-methane 
combustion to be used as an input for the nozzle flow simulations).

• Influence of wall temperature by investigating how the wall temperature of the nozzle affects the behavior of 
the supersonic jet. This includes examining temperature gradients along the nozzle wall and their impact on 
nozzle flow stability.

• Study of the influence of hot gases on the overall flow structure, especially on the separation regime (free- 
and restricted shock separations) and associated shock train. This will help determine key parameters 
influencing these phenomena.

• Examination of critical thermodynamic conditions under which post-combustion downstream of the 
recompression wave would be possible.

• Study of the influence of variable thermodynamics fluid properties in the mixing layer originating from the 
triple point on jet separation (shock oscillations, unsteadiness of the separated region, etc.). This necessarily 
involves a detailed numerical simulation of multi-species mixing phenomena between a supersonic jet and a 
low-speed cold back flow.

• Characterization of convective heat transfer in the recirculation zone and energy exchanges between the 
reactive mixing layer and the nozzle wall.

Implications and Contributions - This thesis comprehensively analyzes the impact of hot gases and variable 
thermodynamics in supersonic rocket nozzles, specifically focusing on LOx-CH4 propulsion with realistic 
combustion chamber conditions. The research employs advanced numerical simulations, including 
aerothermodynamics models for both inert and reactive gases, computational fluid dynamics (CFD) 
techniques, and dynamic mode decomposition and data analysis. To validate the numerical methodology, it is 
advisable to conduct a comprehensive literature review to identify relevant sub-scale laboratory experiments. 
These experiments can then be utilized for validation purposes, particularly in canonical configurations that 
closely mimic operational conditions. The findings of this research may also hold significant implications for 
noise reduction within the aerospace industry. In fact, the study may involve investigating later the acoustic 
radiation from hot supersonic jets with unburst gas pockets and their influence on overall propellant jet. This 
entails assessing noise levels and exploring potential noise reduction methods. In conclusion, exploring the 
effects of hot gases, variable thermodynamics, wall temperature, and specific heat ratios in supersonic rocket 
nozzles is an important research subject especially for current and future space propulsion systems. This 
PhD proposal provides a good opportunity to make a substantial contribution to this field by offering new, in-
depth knowledge and valuable insights for improving the performance and sustainability of space propulsion 
systems.

=================

For more Information about the topics and the co-financial partner (found by the lab !); contact Directeur de 
thèse - abdellah.hadjadj@insa-rouen.fr

Then, prepare a resume, a recent transcript and a reference letter from your M2 supervisor/ engineering 
school director and you will be ready to apply online  before May 1st, 2024 Midnight Paris time !
Contact Information:
Please mention the CFD Jobs Database, record #19020 when responding to this ad.
NameAbdellah Hadjadj
Emailabdellah.hadjadj@insa-rouen.fr
Email ApplicationYes
Record Data:
Last Modified00:57:39, Friday, March 01, 2024

► Computational Fluid Dynamics (CFD) Specialists, Flow Matters
   29 Feb, 2024 
Job Record #19019
TitleComputational Fluid Dynamics (CFD) Specialists
CategoryJob in Industry
EmployerFlow Matters
LocationNetherlands, Eindhoven
InternationalYes, international applications are welcome
Closure Date* None *
Description:
About the job

FLOW Matters is committed to deliver high quality consultancy services as well as to develop state-of-the-art 
simulation software in the field of fluid dynamics, ranging from rarefied gas flows to turbulence, complex 
fluids rheology and multiphase flows. Its rapidly expanding range of activities and the tight connection with 
state-of-the-art research opens many possibilities to be involved in high-tech applications. To keep up with 
Flow Matters expanding portfolio we are looking for more talents to strengthen our team.

Who are we looking for?

FLOW Matters is constantly looking for highly motivated and talented applicants with outstanding expertise in 
at least one of the following areas: flow physics, computational modeling of fluids flows, programming 
experience in coding for high-performance computing.

It is expected that an applicant can demonstrate to possess:
•	Broad knowledge and experience in fluid dynamics, heat/mass transfer, multiphase flows
•	Proven experience in implementing custom physics models to solve multi-physics problems
•	Proven experience in translating research questions into simulation models, planning and executing and 
effectively communicating results both written and oral towards industrial collaborators
•	Demonstrate self-propelling and pro-active thinking and excellent organizational skills
•	Fluent in English
•	Extensive knowledge in LINUX, shell scripting, coding for HPC applications
•	Desired: Hands-on experience with CFD tools, preferable STAR-CCM+, Fluent/CFX, Comsol and MATLAB

We typically look for PhD level applicants, but MSc are also invited to apply if they feel they match the 
requirements.

While scientific and technical skills are a must, we expect the successful applicant to be a good team player, 
to demonstrate independent thinking, to have excellent organizational and presentation (written and oral) 
skills, and to be customer-driven. Capacity to relate to industrial collaborators is also expected.

We offer a stimulating work environment and attractive working conditions with a strong incentives scheme.

Please note that for this position a valid work permit is required.

About us

FLOW Matters is a young and dynamic company originated from Eindhoven University of Technology (TU/e) 
specialized in consulting industrial partners for as well as to develop and license software for the simulation 
of fluid dynamics problems. Our Eindhoven office is growing significantly over the coming year and the 
company mission is to bring results from research in fluid dynamics fields from academy to the industrial 
partners.

Contact Information:
Please mention the CFD Jobs Database, record #19019 when responding to this ad.
NameGianluca Di Staso
Emailsupport@flow-matters.com
Email ApplicationYes
URLhttp://www.flow-matters.com
AddressFLOW Matters Consultancy BV
Groene Loper 5
5612 AE Eindhoven
Record Data:
Last Modified22:59:39, Thursday, February 29, 2024

► Scientific programmer (m/f/x) for model-data integration, Ludwig-Maximilians-Universität in Munich
   29 Feb, 2024 
Job Record #19018
TitleScientific programmer (m/f/x) for model-data integration
CategoryJob in Academia
EmployerLudwig-Maximilians-Universität in Munich
LocationGermany, Munich
InternationalYes, international applications are welcome
Closure DateWednesday, March 27, 2024
Description:
ABOUT US:

Ludwig-Maximilians-Universität München is a leading research university in 
Europe. Since its founding in 1472 it has been committed to the highest 
international standards of excellence in research and teaching. The Chair for 
Physical Geography and Land Use Systems (Prof. Julia Pongratz) at LMU’s 
Department of Geography investigates the interactions between ecosystems and 
climate, and how these are altered by the anthropogenic use of land. Our group 
develops and applies the latest generation of land-use emission, vegetation and 
Earth system models and integrates them with observational data. Key research 
questions are the fate of ecosystems under the pressures of land-use and climate 
change, Earth system feedbacks via energy, water and biogeochemical cycles, and 
the role of vegetation and soils for greenhouse gas emissions reduction and CO2 
removals in support of the Paris Agreement. The team is strongly involved in 
large national and international collaborations such as the Global Carbon 
Project, CMIP, IPCC, CDRterra, Horizon Europe projects and the national Earth 
System Modeling Strategy (natESM) [1].
[1] https://www.globalcarbonproject.org/ - https://www.wcrp-climate.org/wgcm-cmip 
- https://www.ipcc.ch/assessment-report/ar6/ - https://cdrterra.de/en 
- https://www.nat-esm.de/

We are looking for you:

Scientific programmer (m/f/x) for model-data integration
(for two years with option for permanent position)

YOUR TASKS AND RESPONSIBILITIES:

Models are our main tool to project how ecosystems and climate evolve. But a key 
driver – the vast usage of land through agriculture, forestry and urbanization – 
is still lacking substantial detail in these models. This impairs our 
fundamental understanding of the interactions of humans, land, and climate, and 
is also critical as models are increasingly guiding political decision-making on 
land-use and climate to limit global warming. You can contribute to building the 
next generation of climate models, working at the intersection of numerical 
modeling, high-performance computing, and large-scale data analysis. You will 
contribute to strategic decision-making as well as to concrete design and 
implementation of land-use processes in our models. You will work closely with 
the other researchers in our group, and with external partners, e.g., in natESM, 
to align the group’s developments with the national and international modeling 
landscape. While the focus will adjust over the years with the development of 
the research field and success in related research proposals by our working 
group, it currently lies on the Earth system model ICON-ESM and its land 
component JSBACH4 as well as the land-use emission model BLUE, which integrates 
a range of Earth observational data.

Further tasks will be to
·       support team members in model development and setup of simulations, and 
convey good scientific programming skills to the team members
·     contribute to scientific publications and scientific outreach activities
·     contribute to writing proposals that advance the field of Earth system and 
ecosystem modeling
·     do some teaching in the study programs of the Department of Geography

YOUR QUALIFICATIONS:

·     a strong interest in climate and sustainability science
·     a PhD in a natural or mathematical science subject (computer sciences, 
geography, mathematics or similar)
·     very good programming skills, ability to work on high-performance 
computing systems and with large datasets
·     excellent communication skills in English (our working language), proven 
also by scientific publications
·     high communicative skills, high independence and proven ability to 
structure complex processes and efficiently finish tasks

BENEFITS:

·     the chance to be part of a dynamic team working at the frontier of Earth 
system science 
·     Initially E13 TV-L position, commensurate with work experience, for two 
years starting June 2024 or soon thereafter. If the candidate’s performance is 
satisfying it is intended to make the position permanent. A change to civil 
servant status (A13) is possible under certain conditions, a later promotion up 
to A14 is feasible. 
·     career development through the LMU qualification program
·     a stimulating working environment at one of Germany’s top-ranked 
universities. Our institute is located in the centre of the vibrant and 
internationally diverse city of Munich with excellent public transportation 
links.

Handicapped persons with comparable qualifications receive preferential status. 
We encourage female candidates to apply.

CONTACT:

Please send an application outlining your fit for the position (including a 
cover letter, a curriculum vitae, copies of scientific degrees, and the names 
and contact information of two references) by e-mail (one PDF-attachment with 
max. 5 MB including all documents) with subject "ModDat-2024LMU" to 
climate.jobs@geographie.uni-muenchen.de. Deadline for application is March 27, 
2024. For further information please contact Prof. Dr. Julia Pongratz 
(julia.pongratz@lmu.de).
Contact Information:
Please mention the CFD Jobs Database, record #19018 when responding to this ad.
NameJulia Pongratz
Emailclimate.jobs@geographie.uni-muenchen.de
Email ApplicationYes
URLhttps://www.geographie.uni-muenchen.de/department/fiona_eng/department/geographie/index.html
Record Data:
Last Modified21:30:53, Thursday, February 29, 2024

► PhD student position in Computational Fluid Dynamics (CFD), CORIA, University of Rouen Normandy, France
   29 Feb, 2024 
Job Record #19017
TitlePhD student position in Computational Fluid Dynamics (CFD)
CategoryJob in Academia
EmployerCORIA, University of Rouen Normandy, France
LocationFrance, Normandy, Rouen
InternationalYes, international applications are welcome
Closure DateMonday, April 15, 2024
Description:
Project: “Optimization of wave impact calculations on rigid structures”
This project focuses on optimizing wave impact simulations on coastal and offshore structures, utilizing 
OpenFoam software, a benchmark in computational fluid dynamics (CFD). We plan to employ deep 
learning techniques (AI) to analyze the datasets generated by these simulations and experimental data to 
decipher complex models of fluid-structure interactions.
The goal of this PhD is twofold. Firstly, we aim to significantly reduce the computational time associated 
with traditional CFD simulations, often prohibitive for detailed, large-scale analysis. This will accelerate the 
research and development process in coastal and offshore engineering. Secondly, by simplifying the 
complexity inherent in the physical models used for these simulations, we wish to make these techniques 
more accessible and applicable to a broader range of industrial and environmental issues. To achieve 
these objectives, we will develop innovative reduced models capable of translating the complexity of fluid-
structure interactions while being significantly less computationally demanding.
The main ambition behind developing these models is to create advanced predictive tools. These tools will 
aim to determine the impact of swell on coastal and offshore structures based on upstream measured 
data. Such predictive capability is crucial for planning and implementing adaptation measures against 
extreme events, especially in the current context of climate change.
This PhD represents an opportunity for students passionate about solving complex problems at the 
intersection of fluid mechanics, artificial intelligence, and environmental issues. The successful candidate 
will become an expert in advanced simulation techniques, relying on cutting-edge computational codes 
and the latest innovations in AI, while actively contributing to research that directly impacts adaptation and 
resilience to climate change.
Duration and start date: The PhD will last over 3 years, starting on October 1, 2024.
Host team: The PhD will be conducted at the CORIA laboratory within the TASC department. You will work 
specifically in a team of about ten people specializing in numerical simulation and in collaboration with the 
LITIS laboratory for AI aspects.
Experience gained during the PhD:
•	Mastery of 2D and 3D computational fluid dynamics (CFD) simulations.
•	Advanced skills in deep learning techniques and artificial intelligence.
•	Expertise in coastal engineering and climate change risk management.
•	Opportunity for international collaboration, enriching your professional and academic network.
Career after the PhD:
•	In the industry in engineering or in a research and development service in computational fluid 
dynamics: coastal engineering, civil engineering, but also in aeronautics, automotive, and in all fields 
requiring flow simulations.
•	In a postdoctoral contract in France or abroad.
•	In academic research as a researcher or lecturer-researcher.
Salary: The gross monthly salary for the PhD is about €2100, net salary about €1700, which allows for a 
comfortable living given the costs in the Rouen region.
Working language: Given the international context, it is necessary to have proficiency in English, both 
written and oral, in a professional environment.
Profile required:
•	Master’s degree in fluid mechanics or data science.
•	Strong programming skills.

Application: https://www.julienreveillon.com/recrutement


Contact Information:
Please mention the CFD Jobs Database, record #19017 when responding to this ad.
NameJulien Reveillon
Emailjulien.reveillon@univ-rouen.fr
Email ApplicationNo
URLhttps://www.julienreveillon.com/recrutement
Record Data:
Last Modified17:46:05, Thursday, February 29, 2024

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