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► PhD position in Fluids Mechanics at UWaterloo, University of Waterloo
   24 Feb, 2017 
Job Record #14137
TitlePhD position in Fluids Mechanics at UWaterloo
CategoryPhD Studentship
EmployerUniversity of Waterloo
LocationCanada, Ontario, Waterloo
InternationalYes, international applications are welcome
Closure DateSaturday, April 01, 2017
Description:
The Fluid Mechanics Research Laboratory (www.fmrl.uwaterloo.ca) at the 
University of Waterloo has an opening for one fully funded PhD position, with a 
start date in either May 2017 or Sept. 2017. The position is associated with an 
exciting research project in the area of experimental fluid mechanics. The 
research projects focuses on drag reduction on underwater vehicles. The work 
will involve investigations in our state of the art research facilities, using 
cutting edge flow diagnostic tools. Through the course of your research work, 
you will become proficient in advanced fluid mechanics, modern experimental and 
numerical techniques, engineering design, data acquisition, and signal 
processing. The acquired analytical and applied skills will be essential for 
your future career in either industry or academia. 

To be eligible, the candidates must have a master degree with specialization 
related to fluid mechanics and have a cumulative GPA of at least 80% for their 
master degree and over the last two academic years of their undergraduate 
degree. To be considered for this position, the applicants must also have some 
experience with experimental methods in fluid mechanics. All eligible candidates 
interested in this opportunity should e-mail Professor Yarusevych 
(syarus@uwaterloo.ca) their resume and unofficial transcripts.

Contact Information:
Please mention the CFD Jobs Database, record #14137 when responding to this ad.
NameDr. Serhiy Yarusevych
Emailsyarus@uwaterloo.ca
Email ApplicationYes
URLhttp://www.fmrl.uwaterloo.ca
Record Data:
Last Modified19:25:57, Friday, February 24, 2017

► Numerical estimation of ship sinking close to ports, University of Technology COMPIEGNE
   24 Feb, 2017 
Job Record #14136
TitleNumerical estimation of ship sinking close to ports
CategoryPostDoc Position
EmployerUniversity of Technology COMPIEGNE
LocationFrance, Compiègne, Compiègne
InternationalYes, international applications are welcome
Closure DateMonday, March 20, 2017
Description:
Organisation :   University of Technology COMPIEGNE  (France) 
Location :   Compiègne France
Type of contract : Temporary 20 monthes 
Job status : full time , 37h/week
Research field :  Ship sinking, naval hydrodynamics, CFD, OpenFoam 
Researcher profile :  Postdoctoral researcher 
Application deadline :  01 April  2017

In order to welcome larger vessels in the Gironde estuary, different numerical
models will be built to predict the underkeel clearance from the mouth to the
Port of Bordeaux.  A project has been funded by Port of Bordeaux and it involves
different partners as University of Technology of Compiègne (UTC), EDF LNHE,
Cerema and EPOC.

A post doc position is proposed in the joint research unit between UTC (Roberval
laboratory) and Cerema.  The aim of the post doc is to build a 3D hydrodynamic
model (CFD) using OpenFoam code to estimate accurately the ship sinking close to
ports as a function of water properties (density, turbidity ...). The Numerical
model will be validated basing on in-situ measurements which will be carried out
by our partner, the Grand Port Maritime of Bordeaux.

The supervizing team is composed of Sami KAIDI  (sami.kaidi@utc.fr) and Emmanuel
Lefrançois (emmanuel.lefrancois@utc.fr). The welcoming laboratory is Roberval
laboratory (UMR CNRS 7337) located in the small city named Compiègne (40 min
from Paris by train).

Contact Information:
Please mention the CFD Jobs Database, record #14136 when responding to this ad.
NameSami KAIDI
Emailsami.kaidi@utc.fr
Email ApplicationYes
Phone0033344234335
URLhttp://roberval.utc.fr
Addresssami.kaidi@utc.fr
Record Data:
Last Modified15:56:30, Friday, February 24, 2017

► PhD positions in Solar System Science 2018, International Max Planck Research School Solar System Science
   24 Feb, 2017 
Job Record #13734
TitlePhD positions in Solar System Science 2018
CategoryPhD Studentship
EmployerInternational Max Planck Research School Solar System Science
LocationGermany, Lower Saxony, Göttingen
InternationalYes, international applications are welcome
Closure DateWednesday, November 15, 2017
Description:

Once per year, the Solar System School invites applications for PhD positions in Solar System Science. Review of applications for the next round will begin on 15 November 2017.

The International Max Planck Research School for Solar System Science at the University of Göttingen (Solar System School) offers a research-oriented doctoral programme covering the physical aspects of Solar system science. It is jointly run by the Max Planck Institute for Solar System Research (MPS) and the University of Göttingen.

Research at the MPS covers three main areas:

Solar System School students collaborate with leading scientists in these fields and graduates are awarded a doctoral degree from the renowned University of Göttingen or, if they choose, another university.

The Solar System School is open to students from all countries and offers an international three-year PhD program in an exceptional research environment with state-of-the-art facilities on the Göttingen Campus. Successful applicants will be offered a three-year doctoral support contract as well as postdoc wrap-up funding.

The language of the structured graduate program is English, with complimentary German language courses offered (optional). The program includes an inspiring curriculum of scientific lectures and seminars as well as advanced training workshops and provides relocation costs and travel funds to attend international conferences.

Applicants to the Solar System School should have a keen interest in Solar system science and a record of academic excellence. They must have, or must be about to obtain, an M.Sc. degree or equivalent in physics or a related field, including a written Masters thesis, and must document a good command of the English language.

Review of applications for a starting date of September 2018 will begin on 15 November 2017, but other starting times are also negotiable. The positions are awarded on a competitive basis. Applicants must submit the following documents through the online application portal before 15 November 2017:

  • an application form to be filled online, including two short texts describing the applicant's scientific interests and their motivation to apply for PhD projects in the Solar System School, along with the applicant's choice of up to three PhD projects;
  • a curriculum vitae in pdf format;
  • degree certificates and full transcripts of all academic records: i.e. scanned copies of B.Sc. and M.Sc. degree certificates (or equivalent), and lists of all courses with credits and grades issued by the respective school or university, with English or German translations;
  • contact details for two or more referees who have agreed to write a letter of recommendation on behalf of the applicant. The referees will be contacted by the School and will be asked to submit their letters through the online portal no later than November 20 2017.

It is highly recommended to also submit

  • certificate to prove proficiency in the English language, for candidates whose native language is not English or German (e.g. transcript of TOEFL / IELTS scores or equivalent);
  • GRE Physics test scores or equivalent for candidates who have obtained their Master's degree at a university outside of Europe.

The Solar System School is committed to diversity. The MPS is an equal opportunity employer and places particular emphasis on providing career opportunities for women. Applications of handicapped persons are encouraged and will be favored in case of comparable qualifications.

To apply, please

Contact Information:
Please mention the CFD Jobs Database, record #13734 when responding to this ad.
NameIMPRS Scientific Coordinator
Emailinfo@solar-system-school.de
Email ApplicationNo
URLhttp://www.mps.mpg.de/phd/application
AddressMax Planck Institute for Solar System Research
Justus-von-Liebig-Weg 3
37077 Göttingen
Germany
Record Data:
Last Modified15:35:51, Friday, February 24, 2017

► Research Engineer in CFD - code development, Laboratoire DynFluid - Arts et Métiers ParisTech
   24 Feb, 2017 
Job Record #14135
TitleResearch Engineer in CFD - code development
CategoryContract Work
EmployerLaboratoire DynFluid - Arts et Métiers ParisTech
LocationFrance, Paris
InternationalYes, international applications are welcome
Closure DateFriday, March 31, 2017
Description:
The Aerodynamics team of the Fluid Dynamics Laboratory (DynFluid) of Ecole
Nationale supérieure d'Arts et Métiers (Paris campus) is looking for a research
engineer to contribute to a collaborative research project (AITEC2) with the
SAFRAN group and ONERA. The project aims at developing and assessing innovative
high-order discretization schemes (called residual-based compact, or RBC,
schemes, see, e.g. [1-3]) for the compressible fluid dynamics equations in the
aeronautical CFD code elsA (http://elsa.onera.fr/).

More precisely, the schemes have to be implemented into the latest version of
elsA and coupled with boundary treatment and moving mesh algorithms required for
the numerical simulation of complex flows in compressible turbomachinery. The
developments will be validated against well documented test cases, by cross
comparisons with other schemes available in the same code, and subsequently
applied to the numerical simulation of aerodynamic and aeroacoustic phenomena in
aeronautical fans, compressors and turbine stages.

The project will be carried out in tight collaboration with the elsA development
team and with SAFRAN experts. The candidate should have a master or PhD degree
and be skilled in scientific programming (especially python, c++ and Fortran
languages) with application to computational fluid dynamics. Some knowledge of
CFD simulations and flow analysis is mandatory.

For more details, contact me: paola.cinnella@ensam.eu

References

[1] Grimich K, Cinnella P, Lerat A, Spectral properties of high-order
residual-based compact schemes for unsteady compressible flows, ournal of
Computational Physics 252(November):242-262 · November 2013

[2] Grimich K, Michel B, Cinnella P, Lerat A, An accurate finite-volume
formulation of a Residual-Based Compact scheme for unsteady compressible flows,
Computers & Fluids 92(20):93-112 · January 2013

[3] Cinnella P, Michel B, Toward improved simulation tools for compressible
turbomachinery: assessment of Residual-Based Compact schemes for the transonic
compressor NASA Rotor 37, International Journal of Computational Fluid Dynamics
28(1-2):31-40 · February 2014
Contact Information:
Please mention the CFD Jobs Database, record #14135 when responding to this ad.
NamePaola Cinnella
Emailpaola.cinnella@ensam.eu
Email ApplicationYes
URLhttps://www.researchgate.net/profile/Paola_Cinnella
Record Data:
Last Modified14:03:07, Friday, February 24, 2017

► CAE Analyst – Automotive Thermal Systems, InDesA GmbH / InDesA Ltd
   24 Feb, 2017 
Job Record #14134
TitleCAE Analyst – Automotive Thermal Systems
CategoryJob in Industry
EmployerInDesA GmbH / InDesA Ltd
LocationUnited Kingdom, Midlands, Coventry
InternationalYes, international applications are welcome
Closure Date* None *
Description:
Job Summary:

Working for a highly specialized and recognized German service provider onsite
in the engineering environment of a premium UK automotive OEM could be a
challenging combination and a career opportunity as well.

The candidate will be expected to perform fluid & thermal systems analysis with
the 1D software package GT-SUITE where the entire process must be covered
including data acquisition, CAD data preprocessing, model build, simulation,
analysis and final presentation. The candidate will be based on the development
site of our customer in the Coventry area. The candidate will be permanently
backed up and supported by our German office.

InDesA is a recognized service provider and consultancy company with
specialization on design analysis of fluid flow and thermal systems utilizing
advanced simulation techniques. With our strong background in engine and vehicle
engineering we are supporting automotive OEMs and suppliers in Germany, UK and USA.

The candidate must have the following qualifications:

•	degree level in Engineering (Automotive / Aerospace / Engineering Science) 
•	strong background in Fluid Mechanics, Thermodynamics and Numerical Methods
•	1-3 years of experience with 1D or 3D fluid flow simulation.
•	programming experience with Java, Matlab/Simulink. 
•	understanding of engine/vehicle cooling and climate control systems.
•	high communication and interpersonal skills
•	highly driven, self-motivated and able to deliver with minimum supervision

We offer a long term contract initially for one year with the intention to
extend. We are open to full employment through InDesA GmbH/Ltd or to work with
your Ltd Co on a per hour basis. 

If you feel you are qualified and want to become part of our team please apply
with your CV and covering letter, university statements, along with your salary
expectations. Please follow the directives given on our website
www.InDesA.de/eng/karriere.html. to increase your chances. To be considered you
must be eligible to work in the UK. 

Please direct your application as pdf-document to jobs@indesa.de. We are also
happy to answer your questions on the phone. Please do not hesitate to contact
us on +49 89 5527978-10.

InDesA GmbH, Recruiting, Carl-Zeiss-Ring 19a, D-85737 Ismaning, Germany, 
www.InDesA.de

Contact Information:
Please mention the CFD Jobs Database, record #14134 when responding to this ad.
NameRecruitment Manager
Emailjobs@indesa.de
Email ApplicationYes
Phone+49 89 552797810
Fax*49 89 552797829
URLhttp://www.indesa.de
AddressInDesA GmbH
Carl-Zeiss-Ring 19a
85737 Ismaning
Germany
Record Data:
Last Modified13:32:27, Friday, February 24, 2017

► CFD Optimization and Advanced Analysis, The National Energy Technology Laboratory
   23 Feb, 2017 
Job Record #14132
TitleCFD Optimization and Advanced Analysis
CategoryPostDoc Position
EmployerThe National Energy Technology Laboratory
LocationUnited States, West Virginia, Morgantown
InternationalYes, international applications are welcome
Closure DateFriday, September 29, 2017
Description:
The Multi-phase Science team at the National Energy Technology Laboratory 
(NETL) has formed a new program centered around multi-phase device scale 
optimization and analysis through CFD using the in house MFiX suite of codes.  
The optimization and advanced analysis toolset is being implemented as part of 
the MFiX GUI and has the capability to control key simulation parameters, 
interact with live simulations, and post process existing data through a 
simple and intuitive user interface and can be run on high performance 
computational platforms.  This technology is being used to optimize existing 
technology and develop new concepts in energy and conversion technology.  NETL 
is looking for applications and development engineers and scientists to help 
develop the software and apply it to new concepts.  Experience with high 
performance computing platforms and CFD software packages such as the NETL 
MFiX Suite (most preferred), ANSYS FLUENT, CPFD-Barracuda, or OpenFOAM is 
required.  A Ph.D. degree in mechanical or chemical engineering or a closely 
related discipline is required. Working knowledge of Fortran, Python, and QT 
is strongly preferred.  
Contact Information:
Please mention the CFD Jobs Database, record #14132 when responding to this ad.
NameDirk Van Essendelft
Emaildirk.vanessendelft@netl.doe.gov
Email ApplicationYes
URLmfix.netl.doe.gov
Address3610 Collins Ferry Rd
Morgantown, WV
26508
Record Data:
Last Modified16:18:26, Thursday, February 23, 2017

► Reduced Order Modeling, The National Energy Technology Laboratory
   23 Feb, 2017 
Job Record #14133
TitleReduced Order Modeling
CategoryPostDoc Position
EmployerThe National Energy Technology Laboratory
LocationUnited States, West Virginia, Morgantown
InternationalYes, international applications are welcome
Closure DateSaturday, September 30, 2017
Description:
The Multi-phase Science team at the National Energy Technology Laboratory 
(NETL) has begun to develop advanced reactor-network based modeling through a 
novel technique that allows for computer and machine learning techniques to 
capture and represent high fidelity CFD simulations at a variety of operating 
conditions via a flexible reactor network modeling technique.  NETL is looking 
for experienced CFD engineers and scientist to help develop this technology.  
Experience with reactor network modeling, CFD analysis, or computer learning 
is strongly preferred.  A Ph.D. degree in mechanical or chemical engineering 
or a closely related discipline is required. Working knowledge of Fortran and 
Python, is strongly preferred.  
Contact Information:
Please mention the CFD Jobs Database, record #14133 when responding to this ad.
NameDirk Van Essendelft
Emaildirk.vanessendelft@netl.doe.gov
Email ApplicationYes
URLmfix.netl.doe.gov
Address3610 Collins Ferry Rd
Morgantown, WV
26508
Record Data:
Last Modified16:17:40, Thursday, February 23, 2017

► Sr. Numerical Software Analyst, Weatherford
   23 Feb, 2017 
Job Record #14131
TitleSr. Numerical Software Analyst
CategoryJob in Industry
EmployerWeatherford
LocationIndia, Maharastra, MUMBAI
InternationalYes, international applications are welcome
Closure DateSunday, March 05, 2017
Description:
Requirements:

•  ME/M.Tech with CFD speciliation	
Thorough understanding of Numerical algorithm development
•	Ability to interpret large amounts of test data and develop scalable 
mathematical models
•	Understand design and problem specifications and develop algorithms 
to 
model typical oil and gas problems
•	Understanding of multiphase flows
•	Validating results obtained by using models by either using industry 
standard tools, CFD or experimental results
•	Ability to work with cross functional teams
•	Strong ability to document work
•	Exposure to Oil and gas industry will be advantageous
Software requirements
•	Strong understanding of object oriented programming concepts
•	Proficient in C,C++,C# or Matlab 
•	Knowledge of commercial or open source CFD software ( Ansys Fluent 
or 
OpenFoam preferred) 

Contact Information:
Please mention the CFD Jobs Database, record #14131 when responding to this ad.
NameSuresh
Emailramarao.suresh@ap.weatherford.com
Email ApplicationYes
Record Data:
Last Modified09:32:58, Thursday, February 23, 2017

► Uncertainty Quantification Framework for Large-Scale problems, Inria- Saclay-Ile-de-France
   23 Feb, 2017 
Job Record #14128
TitleUncertainty Quantification Framework for Large-Scale problems
CategoryPhD Studentship
EmployerInria- Saclay-Ile-de-France
LocationFrance, Palaiseau
InternationalYes, international applications are welcome
Closure DateSaturday, April 29, 2017
Description:
Uncertainty Quantification Framework for Large-Scale Unsteady Problems (ESR4).

Context
This PhD position is funded through the UTOPIAE project, which is a training and research network 
funded by the European Commission through the H2020 funding stream.
The main objectives of this research program are to train, by research and by example, 15 Early 
Stage Researchers (ESR) in the field of Uncertainty Quantification (UQ) and Optimization and to 
become leading independent researchers and entrepreneurs that will increase the innovation capacity 
of the EU, and to equip them with the skills needed for successful careers in academia and industry, 
to develop, through the ESR individual projects, fundamental mathematical methods and algorithms 
to bridge the gap between Uncertainty Quantification and Optimization and between Probability 
Theory and Imprecise Probability Theory for Uncertainty Quantification, and to efficiently solve high-
dimensional, expensive and complex engineering problems.


Objectives
Computational Science aims at developing reliable and predictive numerical tools, relying on and 
mixing experiment, computation and theory. The objective is not only to numerically reproduce with 
high-fidelity an observed phenomenon, but also to predict the reality in situations for which the 
numerical tool has not been specifically validated nor tested. To this end, reliable numerical 
predictions require sophisticated physical models as well as a systematic and comprehensive 
treatment of calibration and validation procedure, including the quantification of inherent 
uncertainties.
Complex physical models call for simplifications that usually introduce parameters. For instance, 
using turbulence models instead of direct Navier-Stokes (DNS) simulations introduces some modeling 
constants to be calibrated or estimated. Consequently, these model parameters remains uncertain, as 
they can not be known exactly, and it is crucial to assess the impact of these uncertainties on future 
predictions. Unfortunately, increasing the number of uncertain parameters immediately translates in 
an increased computational cost for the uncertainty quantification (UQ), due to the so-called curse of 
dimensionality. The design of UQ methods should then be robust to the number of uncertain 
parameters, in order to remain feasible for engineering problems of interest.
Moreover, UQ methods have to be applied on top of the deterministic solvers to enable large scale 
applications (i.e. non-intrusively). In particular, they should take advantage of the modern 
computational infrastructures with massive parallelism. For instance, the possibility to solve in 
parallel a numerical model for different values of the uncertain parameters is routinely exploited in 
black-box methods. However, designing computational strategies that closely associate deterministic 
solution methods (for PDEs) and UQ methods appears as a promising way to reduce the 
computational cost of UQ problems. Indeed, although the computations for different parameter 
values are independent, one may found advantages in reusing information of one solve to accelerate 
another (e.g. recycling adapted meshes). Other possibilities include revisiting deterministic 
approaches, such as Domain Decomposition methods, to adapt and extend them for the UQ task. 
From the computational performance perspective, it is also critical to exploit structures in the 
uncertain parameters effects to design efficient UQ strategies. However, since these effects are 
usually unknown a priori, one needs to rely on dedicated procedures to adapt and revise the UQ 
strategy as the knowledge of the parameters impact is progressing.
The aim of the ESR is to develop original UQ algorithms and solvers to deal with complex model 
dependencies in high parametric dimension. As the project targets large scale simulations, High 
Performance Computing aspects will be a major concern in the design of UQ algorithms taking 
advantage of modern computational infrastructures. The ESR will work with Stanford University on 
the HPC framework for treating large-dimension unsteady problems, during a three-months 
secondment. The ESR will apply the developed framework to the design of morphing airfoil for 
helicopter application, during a three-months secondment at Politecnico di Milano.


Supervision
The ESR will be supervised by P.M. Congedo (INRIA) and Olivier Le Maître (CNRS), experts in 
uncertainty quantification methods (see http://www.pietrocongedo.altervista.org/ and 
http://perso.limsi.fr/olm/).


Eligibility Criteria
- Early-Stage Researchers (ESRs) shall, at the time of recruitment by the host organisation, be in the 
first four years (full-time equivalent research experience) of their research careers and have not been 
awarded a doctoral degree.
- All researchers recruited in an ITN must be Early-Stage Researchers (ESRs) and undertake 
transnational mobility (including, but not limited to secondments with other UTOPIAE partner 
institutions, conference attendance, outreach and engagement work and any other appropriate work 
requiring travel as deemed necessary by their supervisor).
- Mobility Rule: at the time of recruitment by the host organisation, researchers must not have resided 
or carried out their main activity (work, studies, etc.) in the country of their host organisation for more 
than 12 months in the 3 years immediately prior to the reference date. Compulsory national service 
and/or short stays such as holidays are not taken into account.

For all recruitment, the eligibility of the researcher will be determined at the time of their first 
recruitment in the project. The status of the researcher will not evolve over the life-time of the project.


Duration of the Project and of the Recruitment
The recruitment of each individual ESR will be 36 months. Starting date: September-November 2017.


Type of contract
The successful ESR applicant will be offered a three year full-time funded contract by INRIA. 
Duration: 36 months, Gross salary: 39,820.00 per year. Work location: mainly INRIA (Center of 
Saclay), and also Stanford, USA (during 3-6 months), and Milano, Italy (Politecnico di Milano, during 
3-6 months).

Requirements and Application Procedure
Candidates are required to have a Master's degree in engineering, applied mathematics or a related 
discipline, and a specialization in computational fluid dynamics, uncertainty quantification, 
optimization or related fields. Preferable qualifications for candidates include proven research talent, 
an excellent command of English, and good academic writing and presentation skills.
Applicants should submit a Curriculum Vitae, a covering letter as a single document detailing the 
knowledge, skills and experience you think make you the right candidate for the job, two letters of 
reference, a list of your MSc courses and grades, copy of your Master's thesis and preferably a list of 
publications.
Applicants should confirm within their covering letter the length of time they have resided in the host 
country in the last 3 years before the 1st of October 2017.

For further details, please contact Pietro Marco Congedo (pietro.congedo@inria.fr). 
All applications should be emailed to apply@utopiae.eu and to pietro.congedo@inria.fr by Sunday, 30 
April, 2017, with the label "Uncertainty Quantification Framework for Large-Scale Unsteady Problems 
(ESR4)".
Contact Information:
Please mention the CFD Jobs Database, record #14128 when responding to this ad.
NamePietro Marco Congedo
Emailapply@utopiae.eu
Email ApplicationYes
Record Data:
Last Modified09:18:33, Thursday, February 23, 2017

► Computational Modeling Engineer, Tecnologías Avanzadas Inspiralia SL
   23 Feb, 2017 
Job Record #14130
TitleComputational Modeling Engineer
CategoryJob in Industry
EmployerTecnologías Avanzadas Inspiralia SL
LocationSpain, Madrid, Madrid
InternationalYes, international applications are welcome
Closure DateThursday, March 30, 2017
Description:
We are a passionate young multicultural New Product Development Company. We offer
offer solutions to our clients, from strategic innovation, followed by product devel
development to product market launch; across a wide range of sectors.

Due to our rapid expansion in Europe, we are searching for an Engineer spe
specialized on computational modelling and simulation for our office in Madrid. Rep
Reporting to the Head of Simulation, this role will support Inspiralia in the exe
execution of several market orientated projects. 

We required a candidate with:
 · Extensive knowledge in FEM and CFD modelling. At least 3 years experience 
using the following software: Comsol, ANSYS Multiphysics Workbench/APDL, CFX, F
Fluent or similar.
 · Degree in Mathematics, Physics, Industrial or Mechanical Engineering, with a 
specialization in Energy topics, Fuel cells and Electrolyzers. 
 · Extensive knowledge in: Thermodynamics, Electrochemistry and fluid d
dynamics/hydrodynamics.
 · Knowledge developing coupled models such as electro-thermal simulations, CFD 
with transport equations, etc. Experience in programming with Matlab and performi
performing energy balance calculations with TRNSYS.
 · High autonomy and ability to work independently developing computational models 
models and simulations.
 · High technical capability, analytical and problem solving of different physic
physics or scientific areas.
 · 3 years experience working with market orientated, client focused problems. 
 · Fluent in English (C1 level). Knowledge of Italian, German or French would be a
be an advantage. 
 · Experience with the technical execution of European research projects will be 
be valuable.

Skills:
 · Organized and methodic.
 · Flexible and open to new challenges.
 · Analytical and problem solver.
 · Team player.
 · Able to work to deadlines.
 · Good communication skills. 

We offer a full time contract with an attractive and competitive remuneration a
and social benefits. Salary will be defined according to the capacities and e
experience.

Contact Information:
Please mention the CFD Jobs Database, record #14130 when responding to this ad.
NameFátima Cabrera
Emailfatima.cabrera@inspiralia.com
Email ApplicationYes
URLhttp://www.inspiralia.com
Record Data:
Last Modified07:55:32, Thursday, February 23, 2017

indeed top

► Mechanical Design Engineer - Movement Search & Delivery - Decatur, GA
  26 Feb, 2017
Good knowledge of 3D CAD systems and a solid understanding of FEA and CFD tools. Due to their growth, they have a newly created position for a Mechanical Design...
From Movement Search & Delivery - Sun, 26 Feb 2017 10:26:11 GMT - View all Decatur jobs
► Aerospace Engineer - CFD Research Corporation - Huntsville, AL
  26 Feb, 2017
Experience with or exposure to CFD Software Development, namely finite volume approaches on structured and unstructured grids....
From CFD Research Corporation - Sun, 26 Feb 2017 08:04:47 GMT - View all Huntsville jobs
► Research Engineer - Hillphoenix Systems - Conyers, GA
  26 Feb, 2017
Familiarity with CFD techniques and commercial software. Research and Development Engineering - Systems Division....
From Hillphoenix Systems - Sun, 26 Feb 2017 06:42:29 GMT - View all Conyers jobs
► Display Mechanical Engineer - Apple - Santa Clara Valley, CA
  25 Feb, 2017
Experience with simulation and analysis methods (FEA, CFD, and statistical tolerance analysis). Design next-generation displays for iPhones, Watch, and iPods...
From Apple - Sat, 25 Feb 2017 14:07:18 GMT - View all Santa Clara Valley jobs
► Mechanical Engineer /Design Engineer - Jerry L Jung Company, Inc - Grand Rapids, MI
  25 Feb, 2017
Another set of good skills for this job would be CFD and or FEA simulations. Mechanical Engineer /Design Engineer Job# 16053.... $65,000 - $80,000 a year
From CareerBuilder - Sat, 25 Feb 2017 13:24:30 GMT - View all Grand Rapids jobs
► Mechanical Engineer - Scientific Drilling Inc. - Paso Robles, CA
  25 Feb, 2017
Experience with advanced computational software (FEA, CFD). Scientific Drilling is looking for an Mechanical Engineer to work at our Applied Technologies Center...
From Scientific Drilling Inc. - Sat, 25 Feb 2017 08:33:39 GMT - View all Paso Robles jobs
► Staff Eng, Aero/Thermo- Aeromechanics - Pratt & Whitney - East Hartford, CT
  25 Feb, 2017
Pratt and Whitney, a subsidiary of UTC, is a world leader in the design, manufacture and support of engines for commercial, military and regional aircrafts.
From UTC - Sat, 25 Feb 2017 07:46:13 GMT - View all East Hartford jobs
► Staff Engineer, Aero/Thermo - Aero Thermal Fluids - Pratt & Whitney - East Hartford, CT
  25 Feb, 2017
CFD user experience is preferred. A working knowledge of CFD design tools is required to provide a fundamental understanding of flow fields in coupled rotating...
From UTC - Sat, 25 Feb 2017 07:43:02 GMT - View all East Hartford jobs
► DRE Fuel Cell System Electrical Wiring Harness - GPS0001416 - General Motors - Pontiac, MI
  25 Feb, 2017
Working knowledge of CAE design and analysis tools FEA, CFD and CAD. Working with fuel cell design, controls and systems engineering teams, support the...
From General Motors - Sat, 25 Feb 2017 07:34:12 GMT - View all Pontiac jobs
► Senior Aerothermal Engineer - Integration Innovation, Inc. - Huntsville, AL
  25 Feb, 2017
Specific experience in the use of CFD codes; Perform aerothermal analysis and design of missiles, air vehicles, and ground support equipment addressing...
From Integration Innovation, Inc. - Sat, 25 Feb 2017 07:07:06 GMT - View all Huntsville jobs

Monster top

► Sr. Product Engineer
  25 Feb, 2017
FL-New Port Richey, Manitowoc FSG Operations, LLC seeks a Sr. Product Engineer in New Port Richey, FL to work along side Product Management team at fuzzy front-end of product development cycle, w/ goal of understanding customer & market needs, & identify tech solutions to satisfy needs. Up to 35% travel. Reqs at least a bachelor's degree, or for. equiv, in Mech Eng, Indstrl & Systms Eng, or rel. eng field + at least

ASME top

► Software Engineer (Combustion Modeling)
  24 Feb, 2017
SpaceX - Support all stages of the software development life cycle. Execute large scale CFD simulations using production HPC facilities in support of the d...
► Aerodynamics Engineer
  24 Feb, 2017
SpaceX - of enabling human life on Mars. Aerodynamics Engineer Responsibilities: Brainstorm solutions to novel Aerodynamic challenges Create, mesh, run, an...
► Turbomachinery Engineer (Turbine Aero-Mechanical)
  24 Feb, 2017
SpaceX - Master’s degree in an engineering discipline Turbomachinery design experience Experience using 3D CFD in the turbomachinery design process Preferr...
► E1453:Aeronautical Engineer Sr
  24 Feb, 2017
Lockheed Martin - mesh generation, CFD solution, and post processing analysis is required.- Must have a Final Secret to start and the ability to obtain a Secret SAR...
► E2373:Process Simulation Engr Sr
  24 Feb, 2017
Lockheed Martin - analysts.Primary responsibilities:- Perform aero-thermal analysis using preliminary design and detailed design analysis tools- CFD modeling using ...
► N9064:College Student Tech Spec
  24 Feb, 2017
Lockheed Martin - applications is a plus:MatLab, SimuLink, LabVIew, NASTRAN, PATRAN, CATIA, ANSYS, CFD, CEM, CSD, C++, JAVA, UNIX, VR, Windows.Desired skillsAs a le...
► E1454:Aeronautical Engineer Stf
  24 Feb, 2017
Lockheed Martin - that requires special access.Desired skills- Computational Fluid Dynamics experience preferred, including mesh generation, CFD solution, and post ...
► N9064:College Student Tech Spec
  24 Feb, 2017
Lockheed Martin - applications is a plus:MatLab, SimuLink, LabVIew, NASTRAN, PATRAN, CATIA, ANSYS, CFD, CEM, CSD, C++, JAVA, UNIX, VR, Windows.Desired skillsAs a le...
► E1452:Aeronautical Engineer
  24 Feb, 2017
Lockheed Martin - Candidate should be proficient with Microsoft Office products. Should be able to write and understand computer programs preferably in C++ and FORT...
► E1414:Mechanical Engineer Stf
  24 Feb, 2017
Lockheed Martin - Perform structural, shock, vibration, non-linear and composite material analysis, thermal analysis and computational fluid dynamics (CFD) analysis ...

juju top

► *Computational* *Fluid* *Dynamics* Postdoctoral Research - Consortium of American universities (United States)
    
…are also encouraged to apply. US Citizenship is required. Candidate will assist with computational fluid dynamics ( CFD ) studies focused on airborne
► *Computational* *Fluid* *Dynamics* Algorithm Development on Unstructured and Cartesian Grids - Space and Aeronautics Government Agency (United States)
    
Unstructured and Cartesian grid simulations offer a general methodology in computational fluid dynamics for predicting flow fields around complex geometries.
► *Computational* *Fluid* *Dynamics* Engineer (52-53) - Solar Turbines Inc (United States)
    
…to use and validate combustion models required in various engineering CFD approaches including Reynolds Averaged Navier-Stokes (RANS) and Large-eddy simulation
► Modernization of *Computational* *Fluid* *Dynamics* Codes - NASA (United States)
    
We are developing a CFD code that solves the unsteady three-dimensional compressible Navier-Stokes equations using higher order upwind and compact schemes. The code
► Postdoctoral Associate in *Computational* *Fluid* *Dynamics* - Oak Ridge National Laboratory (United States)
    
…Facility (OLCF) seeks a highly motivated postdoctoral research associate to develop scalable computational fluid dynamics algorithms for the next generation
► *Computational* *Fluid* *Dynamics* Analysis of Micro-Gravity Effects on ECLSS Water Reclamation Process - NASA (United States)
    
…and reliability of the UPA. The MSFC Fluid Dynamics Branch performs Computational Fluid Dynamics ( CFD ) simulations of the multi-phase liquid-gas
► Sr. *Computational* *Fluid* *Dynamics* Engineer - Leidos (United States)
    
…The Electronic Warfare Division currently has an immediate opening for a Senior Computational Fluid Dynamics ( CFD ) Engineer. JOB DESCRIPTION:
► *Computational* *Fluid* *Dynamics* Engineer - Leidos (United States)
    
Description: The Electronic Warfare Division currently has an immediate opening for a Computational Fluid Dynamics ( CFD ) Engineer. JOB DESCRIPTION: Apply
► *Computational* *Fluid* *Dynamics* Engineer - Brunswick (United States)
    
…high-energy. Position Summary: The Design Analysis Group at Mercury Marine is looking for a CFD ( Computational Fluid Dynamics ) engineer to improve the
► *Computational* *Fluid* *Dynamics* ( *CFD* ) Engineer - Jacobs (United States)
    
…The Huntsville area, visit http://www.huntsville.org/ This position brings combustion testing and computational fluid dynamics together in order to

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