A PhD scholarship is available in the Institute of Mechanics, Materials and
Civil Engineering of the University of Louvain (UCL) in Belgium. The research
projects focuses on the fundamental aspects of  particle-laden flows and
two-phase flows of granular mixtures, with applications to sediment formation
and transport and to the handling and storage of bulk granular materials in
industry. Successful candidates will possess a Master's degree in engineering,
physics or mathematics and a background in fluid dynamics and in numerical
methods for partial differential equations. Good knowledge of English is required.

Interested applicants are encouraged to send a detailed CV, full transcript
records and two letters of recommendation to Professor M. Papalexandris,
miltos@uclouvain.be . 

Information about UCL and its programs of doctoral studies can be found at
http://www.uclouvain.be/en-visiteur-international.html and
http://www.uclouvain.be/en-doctorat.html 

A PhD scholarship is available in the Institute of Mechanics, Materials and
Civil Engineering of the University of Louvain (UCL) in Belgium. The research
projects focuses on  numerical simulation of turbulent flows with temperature
gradients, with application to the “Pressurized Thermal Shock” (PTS) problem
during a loss of coolant accident in nuclear reactors. Successful candidates
will possess a  Master's degree in engineering, physics or mathematics and a
background in fluid dynamics and in numerical methods for partial differential
equations.  Good knowledge of English is required.

Interested applicants are encouraged to send a detailed CV, full transcript
records and two letters of recommendation to Professor M. Papalexandris,
miltos@uclouvain.be 

Information about UCL and its programs of doctoral studies can be found at
http://www.uclouvain.be/en-visiteur-international.html and
http://www.uclouvain.be/en-doctorat.html 

IFP Energies nouvelles is a public-sector research, innovation and training 
center active in the fields of energy, transport and the environment. Its 
mission is to provide public players and industry with efficient, economical, 
clean and sustainable technologies to take up the challenges facing society in 
terms of climate change, energy diversification and water resource management. 
It boasts world-class expertise.

Nowadays, a major axis of development for spark-ignition (SI) engines is based 
on the concept of downsizing. Technologies such as Variable Valve Timing (VVT) 
and Direct Injection (DI) systems help handling drawbacks such as abnormal 
combustions (knock, pre-ignition and super-knock) and controlling cylinder-to-
cylinder and cycle-to-cycle injected fuel quantities. In parallel, the CO2 and 
pollutant emissions legislations evolve introducing new pollutant species and 
more severe homologation driving cycles. The new constraints on the speciations 
of NOx and HC, the granulometry of soot particles as well as the more severe 
driving cycle coldstart conditions (that are a major source of pollutants) 
represent the major challenges. In this scenario, from design to control 
strategies and calibration of new engines concepts, numerical simulation is 
commonly and growingly used. IFPEN develops and commercializes within the IFP-
Engine library of AMESim detailed combustion models for SI engines (CFM). At 
present, the CFM model predicts with good accuracy heat release, standard 
pollutant emissions, such as CO/CO2, NOx and HC, and knock phenomena. 
Nevertheless, the model is dedicated to the combustion of homogeneous mixtures 
and accounts for heterogeneities only in a simple manner. This strongly limits 
its domain of applicability, and makes it not adapted for the simulation of DI 
SI engines for which heterogeneities have a first order impact on auto-ignition 
and pollutant emissions. The aim of this PhD is to extend the application domain 
of the CFM model in order to account for composition and temperature 
heterogeneities induced by DI systems and their impact on combustion 
instabilities and CO, NOx, HC and soot emissions. The model validation will be 
done first by comparing simulations to hot engine data, and then to forced 
cooling engine data reproducing cold start conditions.

Entry requirements : candidates will have a degree in Engineering and a 
background in numerical simulation, combustion and/or fluid dynamics. A good 
knowledge of English is a must.

If interested, please send a detailed CV and a cover letter to
Dr Alessio Dulbecco (email: alessio.dulbecco@ifpen.fr). 

Closing date for applications : open until a suitable candidate is found.

A three-year PhD position is available in the CFD & Aeroacoustics Department at
ONERA starting from October 2013.

Location: ONERA - Châtillon (south of Paris)

Title: Wavelet-based multiscale simulation of turbulent flows 

In the framework of the Aghora project, Onera is currently working on the
development of high-order methods for the simulation of turbulent flows using
DNS and LES. Within this line of research, we propose here to investigate an
alternative high-order method which exploits the remarkable properties of the
wavelet-based multiresolution analysis (MRA) technique .

In recent work, we have developed a multilevel approach to LES which relies on
the wavelet-based MRA technique to separate the flow into its large and
small-scale components. To this end, the N-S equations are projected onto a
hierarchy of scaling function (coarse grid) and wavelet spaces (fine grids) at
different levels of resolution. The proposed approach has been assessed by using
a priori testing on data from DNS. A posteriori (dynamic) tests have been only
performed for decaying and force-driven (1D) Burgers turbulence.

In this thesis, we propose to extend this methodology to the simulation of 3D
incompressible turbulent flows using second generation wavelets (SGW). In a 3D
transform domain, the formulation of the LES problem becomes more involved, as
the number of wavelet subspaces per resolution increases sevenfold with respect
to 1D. It may be possible, however, to reduce the number of degrees of freedom
of the problem by neglecting the contribution of certain wavelet spaces.
Research along this line will be carried out by analysing available DNS data. An
effective coding strategy for the implementation of the incompressible solver
based on SGW will be designed. The final implementation should also incorporate
a spatially adaptive wavelet thresholding strategy able to exploit the
sparseness property of the wavelet representation. An interesting challenge in
the formulation of the incompressible problem is the treatment of the mass
conservation and pressure subgrid-scale terms, which arise from the projection
operation. The PhD student will carefully investigate this point in order to
select the most appropriate approach to deal with these terms. A suitable
modelling strategy will also be developed in order to account for the unresolved
scales (discarded wavelet spaces). Finally, LES computations on a number of
reference test cases will be performed and compared against DNS data.  

Entry requirements: Candidates will have a degree in Engineering, Physics or
Applied Mathematics, and a strong background in CFD, numerical methods and fluid
dynamics, ideally acquired through postgraduate research. 

If interested, please send a detailed CV, cover letter and grade transcripts to
Dr Marta de la Llave (email: marta.de_la_llave_plata@onera.fr). You should also
consider sending two recommendation letters to support your application. 

Closing date for applications: open until a suitable candidate is found.

Further details can be found at

http://sites.onera.fr/formationparlarecherche/sites/sites.onera.fr.formationparlarecherche/files/DSNA-2013-02.pdf

Applications CFD Team Manager--Internal Combustion Engines

Convergent Science has been providing CFD consulting services to the automotive
and engine industries for over 14 years. More recently, Convergent Science has
developed a software package, called CONVERGE, that is a general CFD code
ideally suited for internal combustion engine simulations. Convergent Science is
a rapidly growing company and has doubled in size in the last 1.5 years. 

Convergent Science is seeking a full-time engineer in Middleton, Wisconsin to
manage our growing applications/support team. This team provides support,
training, and consulting services for our clients. Client on-site visits will be
required and therefore the interested applicant must be willing to travel. In
addition to the technical knowledge required for this position, applicants
should be organized, outgoing, creative and highly motivated.

The Team Manager supervises our group of IC Engine applications engineers. This
includes helping team members with their projects as well as maintaining
deadlines and quality of all projects. The Team Manager will also be responsible
for his or her own projects.       

Requirements:

1) M.S. or Ph.D. in engineering or related field.
2) 5+ years of industry CFD (preferably IC Engine-related)
3) Excellent written and verbal communication skills.
4) Knowledge of internal combustion engine simulations.
5) Must be willing to travel. 
6) Proficiency in Japanese, German or French is a plus.
7) Management experience is a plus

The salary range for this position is $100-150K per year, depending on
experience and qualifications.

Interested applicants should send their salary requirements and resumes to:

Dr. Peter Kelly Senecal

Convergent Science Inc. has developed CONVERGE™ CFD software which is the
industry leading tool for simulating the flow, spray and combustion found within
an internal combustion engine.  CONVERGE is loaded with state of the art
physical models for turbulence (including LES), spray and combustion required to
model any engine type. Included in the model set is the SAGE detailed chemistry
solver with the multi-zone accelerator.  Extensive chemistry mechanism reduction
capabilities are also included.

CONVERGE generates a high quality mesh at runtime, thus eliminating all user
meshing time (even for applications with moving boundaries).  Moreover, CONVERGE
automatically adds mesh elements when and where they are most needed based upon
gradients in the field variables using adaptive mesh refinement.  CONVERGE runs
well in massively parallel environments.  

The technical capabilities of CONVERGE are ideally suited for gas turbine
combustion modeling. Convergent Science is looking for an ambitious engineer to
focus on gas turbine combustion applications and help grow this business
segment. The position will require a self-motivated individual eager to contact
various companies and explore opportunities for CONVERGE CFD software. This is
an excellent opportunity to be on the ground floor of a new business endeavor
within a growing and stable organization.  Client visits, sample problem
solution, presentation creation, generation of marketing material, attending
trade shows, conducting software training, writing technical papers, providing
technical sales support will all be required on a regular basis.  

The technical sales engineer will report directly to an owner of Convergent
Science Inc. This position will be located in the vacation town of New
Braunfels, Texas down the street from world famous Gruene Hall and the Guadalupe
River.  It is also possible that the position be located in the Convergent
Science Headquarters of Middleton, Wisconsin.

Requirements

- Master’s degree or Ph.D. in Mechanical or Aerospace engineering or a related
discipline; and
- At least three years of experience working in gas turbine combustion CFD modeling
- Knowledge of Lagrangian spray models used in CFD 
- Knowledge of detailed chemistry combustion modeling
- Knowledge of massively parallel processing 
- Familiarity with the gas turbine combustion CFD modeling community a plus
- A track record of publishing technical papers related to gas turbine
combustion modeling a plus

Please send resume and references to: Dr. Daniel Lee, dlee@convergecfd.com

Applications are invited for a research studentship in the field of stochastic
modelling of nanoparticle formation, leading to the award of a PhD degree. The
post is supported by a bursary and fees (at the UK/EU student rate) provided by
a DTA award.  The studentship is for three years from October 2012 and is
available for UK and EU candidates meeting the Research Council criterion of
having been resident in the UK for the previous three years.

The research involves the development of a methodology for modelling
polydispersed nanoparticle formation in turbulent flows with state of the art
computational methods, including Large-Eddy Simulation (LES) for modelling of
turbulent flow, Population Balance for modelling the evolution of the particle
size distribution (PSD) and the Stochastic Field method for the interaction of
fluid dynamics and nanoparticle growth. The candidate will work with advanced
codes developed within our group over a number of years and will interact with a
group of experienced researchers working in this field. 

You will be an enthusiastic and self-motivated person who meets the academic
requirements for enrolment for the PhD degree at Imperial College London. You
will have a background in Engineering or Science, be highly motivated, strong
analytical and computational skills and a keen interest in programming and
numerical methods. Appropriate training will be provided in the modelling
approaches involved and in programming techniques.

For further details on the post, please contact Dr S Rigopoulos
s.rigopoulos@imperial.ac.uk. Interested applicants should send an up-to-date
curriculum vitae to Dr Rigopoulos on the above e-mail address. Suitable
candidates will be required to complete an electronic application form at
Imperial College London in order for their qualifications to be addressed by
College Registry. Please state clearly in your email whether you are eligible
for the studentship (i.e. whether you are a UK citizen or an EU citizen resident
in the UK for the past 3 years).

Closing date: 20 June 2013

The CFD Lab in McNeese State University College of Engineering is looking for a 
Master student in computational fluid dynamics for industrial applications; 
competitive salaries; close collaboration with the sponsor company. McNeese 
State University is located in Lake Charles, Louisiana, which is in middle of 
the Gulf corridor between Houston and New Orleans. Lake Charles area is one of 
the country’s major petrochemical industry centers with its deep-water port, 
abundance of oil and natural gas resources, and is one of the fastest growing 
areas in the country. 

Required:
•	B.S. in Mechanical Engineering or equivalent.
•	Strong written and communication skills.

Desired Skills:
•	Training in CFD and numerical methods
•	Programming in C++ and/or Fortran on Unix/Linux operating system
•	FLUENT, openFOAM
•	Industry experiences
 
Starting Date: mid-August, 2013

McNeese State University is an AA/EEO/ADA employer committed to excellence 
through diversity.

The Immigration Reform and Control Act of 1986 requires McNeese State 
University to inform applicants that the University can employ only U.S. 
citizens and aliens lawfully authorized to work in the U.S.  Each new employee 
is required to present documentation verifying his/her identity and right to 
accept employment.

McNeese State University is a member of the University of Louisiana System. 
Under Louisiana law, applications and all supporting materials will become 
public record.  An executive session pursuant to La. Rev. Stat. 42:6.1(A) may 
be required. 

Persons needing reasonable accommodations as provided by the Americans with 
Disabilities Act should contact the Vice President for Special Services and 
Equity Office:  Voice:  (337)475-5428; Hearing Impaired (TDD) (337)475-5722; 
Fax:  (337)475-5960

BOMBARDIER
      the evolution of mobility
 
At Bombardier Aerospace, 33,600 employees in 25 countries work together to 
evolve mobility worldwide - one good idea at a time. If you have a good idea, 
we’ll provide the environment where it will thrive and grow into a great 
product or customer experience. Your ideas are our fuel.
 
The thermodynamics group supports new aircraft program development and 
inservice aircraft in all thermodynamics related issues. These include aircraft 
ice/fog protection systems performance, zonal pressure, temperature and flow 
rates analysis, avionics cooling, and general thermal analysis of systems and 
structures. It requires understanding of the systems that are being analyzed 
and how they interface with the aircraft and other aircraft systems. It also 
requires communicating with internal systems/structures groups, system 
suppliers, and flight test teams to resolve issues, plan tests, analyze and 
certify modifications.
 
More specifically, you will participate in the development of the Global 
7000/8000, CSeries or Lear 85, performing Computational Fluid Dynamics analyses 
of bays and systems to validate cooling and temperature protection schemes.

As our ideal candidate,

- You hold a bachelor’s degree in mechanical or aerospace engineering  
(A Master’s degree including courses in fluid dynamics, atmospheric icing and 
heat transfer is an asset)
- You have a good knowledge of MS office software (intermediate level for excel)
- You possess good interpersonal skills as well as good written and oral 
communication skills 
- You possess 5 years of professional experience using CFD software for heat 
transfer and fluid flow analyses 
- Knowledge of Star CCM+ is an asset

Bombardier Aerospace is an equal opportunity employer and encourages women, 
Aboriginal people, persons with disabilities and members of visible minorities 
to apply.
 
Whether your candidacy is moving on to the next step of the hiring process or 
not, we will keep you informed by email or by phone. Join us at 
careers.bombardier.com
 
Your ideas move people.

NTI is the premier developer and provider of commercial in-flight icing
simulation software and associated design, testing and certification services to
aerospace companies, worldwide. NTI is also active in the field of wind
engineering. 
NTI is to soon open an office in Daytona Beach, Florida. 
The position advertised for here may, however, be exercised in any city.

POSITION: SALES/APPLICATIONS ENGINEER FOR NTI-USA
Duties and responsibilities:
1.	Prospecting for sales and consulting opportunities throughout the USA
2.	Writing technical proposals and SBIRs (after following an NTI course on
in-flight icing and on wind engineering)
3.	Acting as liaison between the Montreal consulting group and US clients
4.	Perform CFD-based consulting projects, using NTI solvers: pre-processing,
CFD, post-processing and reporting

Qualifications:
Applicants must be US citizens in order to apply for a security clearance for
ITAR-restricted work.
Applicants must have a Master and preferably a Ph.D. degree in Mechanical or
Aerospace Engineering.

Required areas of expertise:
1.	Fluid dynamics, thermodynamics and heat transfer
2.	Mesh generation packages such as ICEMCFD and others 
3.	CAD packages, such as Pro/Engineer or AutoCAD
4.	Excellent command of technical English

Personal qualities:
Maturity, mobility, good work ethics, organization, initiative and ability to
integrate in a dynamic team, good verbal and written communication. 

Resume should be e-mailed: position_sales_usa_2013@newmerical.com