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► CFD Sr Engineer, SBD Refrigeration/Whirlpool
   31 Aug, 2015 
Job Record #12952
TitleCFD Sr Engineer
CategoryJob in Industry
EmployerSBD Refrigeration/Whirlpool
LocationUnited States, Michigan, Benton Harbor
InternationalNo, only national applications will be considered
Closure Date* None *
•	Use CFD tools to simulate refrigerator airflow and thermal simulations 
to evaluate heat flow, temperature, condensation and humidity.
•	Build representative refrigerator 3D models, evaluate designs, 
validate with physical testing and perform iterations to drive efficient 
designs for optimal product performance.
•	Write simulation reports , knowledge documents, A3, and CCDs  to 
capture knowledge and promote future reuse.
•	Develop new techniques and simulation capabilities to reduce overall 
simulation and design cycle time.
•	Work with cross functional, category and global teams to align with 
simulation capabilities, methods and knowledge sharing.
•	Manage multiple projects while maintaining a strong communication 
bridge with design, CAD, preprocessing and lab personnel.
•	Operate as a liaison between product development engineers and 
external suppliers to ensure accuracy and timely delivery of projects.

Contact Information:
Please mention the CFD Jobs Database, record #12952 when responding to this ad.
NamePablo Rodeiro
Email ApplicationYes
Phone+1 269 269 9236487
Address151 N. Riverview Dr. MD 0401
Benton Harbor, MI 49022
Record Data:
Last Modified22:12:11, Monday, August 31, 2015

► CAE Support & Success Engineer (m/f) in Munich, SimScale GmbH
   31 Aug, 2015 
Job Record #12951
TitleCAE Support & Success Engineer (m/f) in Munich
CategoryJob in Industry
EmployerSimScale GmbH
LocationUnited States, Bavaria, Munich
InternationalYes, international applications are welcome
Closure Date* None *
SimScale represents a complete new approach how scientists and engineers can 
use technical simulation: simple, efficient and affordable. For our fast 
growing international technical sales & support team, we are looking for an 
energized CAE engineer that will help us go forward.

You will take a leading responsibility of ensuring successful customer on-
boarding, developing and updating a professional internal and external 
knowledge base to help our complete user base.

From the point our Sales team has successively acquired a new customer to 
our platform; you will be responsible to ensure their first weeks on the 
platform will be filled with great and successful experiences by engaging 
with them, understanding their needs and projects and removing any 
roadblocks for them. You will make sure SimScale is associated with quality, 
helpfulness and highest user experiences in the engineering simulation 

Key Responsibility / The cool stuff you will do:
- Helping all paying users to quickly experience successful simulations
- Ensuring dedicated support and user help to each and all professional and 
enterprise customer
- Take ownership of our internal support knowledge-base, including support 
infrastructure and templates for future support questions
- Create and build our internal and external knowledge base
- Take ownership of our most demanding professional customers in close 
cooperation with the account manager
- Create white-papers in cooperation with key clients and account managers
- Help educate and develop our sales team in engineering simulation
- Concept and writing for customer success stories
- Take over a central responsibility of creating easy to understand 
tutorials and example simulations
- Identify potential to improve the user experience of the SimScale user 
interface and remove all customer roadblocks together with product 
- Make sure that the current customer base will be maintained and developed 
to the highest level possible
- Establish new ways of doing business, increase sales and find unique and 
repeatable ways of solving problems
- Collect, understand and report market information (competitive updates, 
territory issues, product successes, etc.) that will allow marketing to 
create initiatives that will support our sales goals
- Ensure consultative sales supported by timely coordination with services 
and product management
- Work together with product management to create an exceptional product 
- Knowledge, skills and abilities / Requirements

Knowledge and experience in engineering simulation, including but not 
limited to_
- Fluid flow analysis
-- Structural analysis
-- Thermodynamics analysis
-- Acoustics simulation
-- FEM / FVM / LBM / SPH
- Proven track record of solving industrial simulation challenges
- Experience with different CAD and CAE software packages
- Business fluent English, oral & written (Native level preferred). Other 
language skills are highly valuable; German, Spanish, French, Chinese, Hindi
- Ability to effectively communicate verbally and in written form with all 
levels of personnel within a business unit from IT/Engineers to C-Level this 
include excellent writing, negotiation and presentation skills
- Superior IT and PC skills, ability to quickly acquire knowledge and 
- Dynamic personality with a willingness to learn about cutting-edge 
technology in a fast-paced environment
- Have a creative and innovative personality, solutions orientated and 
analytic thinking
- Result-oriented and able to work independently, as well as a high degree 
of initiative
- Intercultural understanding. Possesses high ethical behavior and a 
straight forward mind set
- Thrive in a competitive, ever-changing environment. DNA to work in a fast 
moving, dynamic and exciting start-up

What we offer:
- An international and enthusiastic team with high technical expertise and 
lots of fun
- Provide thousands of engineers with the next generation of simulation 
platform and help them to be better at what they do
- Ambitious, self-responsible tasks and projects that leave space for 
creativity and provide the chance to learn a lot in a short time
- Attractive startup atmosphere: flat hierarchies, independent work 
environment, fast pace & fun team events

We look forward to receiving your informative application via email 
(including project list and indication of your salary requirements).
Contact Information:
Please mention the CFD Jobs Database, record #12951 when responding to this ad.
NameDimitris Colon
Email ApplicationYes
Record Data:
Last Modified19:17:42, Monday, August 31, 2015

► Software Developer CAD/Meshing (m/f) in Munich, SimScale GmbH
   31 Aug, 2015 
Job Record #12950
TitleSoftware Developer CAD/Meshing (m/f) in Munich
CategoryJob in Industry
EmployerSimScale GmbH
LocationGermany, Bavaria, Munich
InternationalYes, international applications are welcome
Closure DateSaturday, October 31, 2015
Since 2011, we have been working vigorously on a new method for the world of 
high-performance computing. Our cloud platform enables customers to access 
powerful engineering simulation technology – using a web browser. This provides 
a broad target group – ranging from large corporations to individual engineers – 
with the ability to develop their products in a manner that is faster, better 
and more cost-efficient.
About the job

For our fast growing international product development team, we are looking for 
a passionate and enthusiastic Software Developer CAD/Meshing (m/f) that will 
contribute to bringing the CAD-to-Mesh workflow on SimScale to the next level. 
Your main task will be leading the development efforts for handling CAD Models 
and Computational Meshes on the SimScale platform. It will be your 
responsibility to provide our customers with state-of-the-art, robust and 
reliable pre-processing capabilities enabling them to generate high-quality 
meshes for all sorts of engineering simulation tasks. As we are pioneers in the 
field we are working in, it is important that you are not afraid of breaking new 
ground with cutting-edge technologies and fast changing environments.

What we expect from you (must-haves):
- Proven expertise in C++ software development including object-oriented design 
and generic programming
- Experience and understanding of geometric modeling, topology, geometry and 3D 
computer graphics
- Practical experience in the development of CAD/CAM/CAE respectively CFD/FEA 

What we expect from you (nice-to-haves):
- MSc or Phd in Engineering, Applied Mathematics or Computer Science
- Working knowledge of relevant mathematical fields including differential 
geometry, linear algebra and numerical analysis
- Experience in using and developing modern CAD systems and B-REP methods
- Experience in parallel programming (MPI, OpenMP)
- Experience in applying and developing meshing algorithms (surface and volume 
meshing, mainly unstructured meshes)
- Knowledge of FEA/CFD applications
- Knowledge of Client/Server architectures, Docker and RESTful APIs
- Knowledge of Python, Java, CMake, testing, continuous integration

What you can expect from us
- A great deal of freedom/leeway and responsibility
- Calm working environment
- Communication at eye level
- Start-up spirit
- Flexible work hours
- Provide thousands of engineers with the next generation of simulation platform 
and help them to be better at what they do

Are you looking for an opportunity where you can contribute your deep knowledge 
of Software Development CAD/Meshing in a highly innovative environment and where 
you can put your own ideas into action and really push something forward? Then 
we look forward to receiving your informative application (including project 
list and indication of your salary requirements)
Contact Information:
Please mention the CFD Jobs Database, record #12950 when responding to this ad.
NameDimitris Colon
Email ApplicationYes
Record Data:
Last Modified19:00:09, Monday, August 31, 2015

► Study of large-scale dynamics modeling under uncertainty, INRIA
   31 Aug, 2015 
Job Record #12949
TitleStudy of large-scale dynamics modeling under uncertainty
CategoryPostDoc Position
LocationFrance, Rennes
InternationalYes, international applications are welcome
Closure Date* None *
General description 

We seek a candidate for a 18 month post-doctoral position within the Fluminance team, (INRIA 
Rennes, France). This study at the cross section between Applied Mathematics, Computer 
Science and Physical Oceanography, will investigate the use of ocean dynamics models with an 
uncertainty random component aiming at modeling the action of the unresolved small-scale 
component of the flow. The relevance of such stochastic dynamics will be explored in terms of 
oceanic modeling capacities (see section « Detailed subject » for more information). 


The candidate will work in the Fluminance team located in Rennes. The team is part of INRIA 
(, which is one of the leading research center in Computer Sciences in France. The 
main research activities of Fluminance focus on the study of turbulent flows from image data 
sequences, which encompasses many applications in industrial and academic projects.  We refer 
the candidates to the team’s website for more information:  
This study is funded by a joint project between the three Britanny clusters of excellence of the 
"Laboratoires d'Excellence" program: Cominlabs, Lebesgue and LabexMer centered on numerical 
sciences, mathematics and oceanography respectively. As such the post-doctoral fellow will 
actively participate to a research collaboration at the cross section between Applied Mathematics, 
Computer Science and Physical Oceanography.

Skills and profile

The candidate should have a solid background in applied mathematics and/or in fluid mechanics 
and/or in geophysical dynamics. She/he must have a good knowledge of Matlab or Python, and 
C/C++. He/She must have a PhD related to computational physics (Computational Fluid Dynamics 
or Numerical geophysical modeling and simulation) and should have a pronounced taste for 
applied mathematics. To be eligible, the applicant must have experienced, at least, a one-year 
mobility outside France during these last three years. 
Applicants must send their candidature (resume and letter of motivation) to

Etienne Mémin
Fluminance team
INRIA Rennes-Bretagne Atlantique
email :

Guillaume Roullet 
Laboratoire de Physique des Oceans
UBO - Brest/ France

Detailed subject 	

For several years there is a growing interest in geophysical sciences and climate studies to set up 
flow models that incorporate uncertainties or errors [1, 2, 3]. This interest is strongly motivated by 
the necessity of devising large scale evolution models that take into account the actions of 
processes we do not wish to accurately model -- to keep for instance an affordable computational 
time. This includes processes such as complex physical forcing (cloud convection, boundary layer 
turbulence, etc.) or uncertainties coming either from scale coarsening or from the discrete 
numerical schemes used. In large-scale flow modeling the interaction between the resolved and 
unresolved components lies essentially in the constitution of a so-called subgrid stress tensor, 
which is usually not related to uncertainty concept. We believe it is important to extend this notion 
to take into consideration in a more appropriate way the action on the resolved component of all 
the uncertainties we have to cope with.  The modeling and the handling along time of these 
uncertainties related to the state variable dynamics are crucial for instance for ensemble 
forecasting issues in meteorology or oceanography. An ensemble of runs can be generated 
through randomization of the dynamical parameters or by considering a set of perturbed initial 
conditions possibly accompanied with stochastic forcing mimicking the effect of unresolved 
processes. The underestimation of the ensemble spread and the lack of representativity of errors 
by the subgrid models  constitute problematic limitations of the ensemble techniques forecasting 
skill. In such a situation we have thus to deal with a flow evolution model that should incorporate 
stochastic forcing terms and a subgrid tensor term directly related to these uncertainties.  The 
derivation of such models is a difficult problem that can  hardly be achieved on heuristic grounds. 
In this study, we propose to stick to a recent derivation [2] that naturally emerges from a 
decomposition of the flow velocity field into a differentiable drift component and a time 
uncorrelated uncertainty random term. Such decomposition is reminiscent, in spirit, from the 
classical Reynolds decomposition.  The random velocity fluctuations considered here are not 
differentiable with respect to time, and must be handled through stochastic calculus. The 
dynamics associated to the differentiable drift component can be then derived from a stochastic 
version of the Reynolds transport theorem. It includes in its general form an uncertainty dependent 
'subgrid' bulk formula that cannot be immediately related to the usual Boussinesq eddy viscosity 
assumption constructed from thermal molecular agitation analogy. This formulation, emerging from 
uncertainties on the fluid parcels location, explains with another viewpoint some subgrid eddy 
diffusivity models currently used in computational fluid dynamics or in geophysical sciences and 
paves the way for new large scales flow modeling.
The principal objective will be to explore and study numerically the behavior and the properties of 
such large-scale modeling under uncertainty for various classical geophysical systems of 
equations. This includes for instance the rotating Boussinesq equations, the barotropic equations, 
the quasi-geostrophic model, the primitive equations or the shallow water equations. For several 
of those modified models we will explore the relevance of the uncertainty modeling in term of 
forecasting skill. We will in particular compare the performances of these stochastic systems with 
classical oceanic models and assess their capacities to improve the solutions and to represent the 
errors. The model scale and its associated stochastic representation will be a crucial issue in this 
study. We intend to investigate several forms for this uncertainty component. Various physical 
modeling strategies as well as learning approaches from fine scale numerical data will be 


1. Majda A (2012) Challenges in climate science and contemporary applied mathematics. Commun 
Pure Appl Math 65(7):920–948.
2. Mémin, E. (2014). Fluid flow dynamics under location uncertainty. Geophysical & Astrophysical 
Fluid Dynamics , 108(2): 119-146.
3. T. Palmer and P. Williams (2008). Theme issue ’stochastic physics and climate modelling’. Phil. 
Trans. R. Soc.,366(1875).

Contact Information:
Please mention the CFD Jobs Database, record #12949 when responding to this ad.
NameMemin Etienne
Email ApplicationYes
Record Data:
Last Modified15:49:51, Monday, August 31, 2015

► Post-Doc Mikrofluidische Mehrphasenströmungen, TU Dresden
   30 Aug, 2015 
Job Record #12854
TitlePost-Doc Mikrofluidische Mehrphasenströmungen
CategoryPostDoc Position
EmployerTU Dresden
LocationGermany, Dresden
InternationalNo, only national applications will be considered
Closure DateTuesday, September 01, 2015
An der Professur für Strömungsmechanik der TU Dresden ist, vorbehaltlich der
finalen Mittelzuweisung, zum 1.9.2015, spätestens zum 31.10.2015, die Stelle

       wiss. Mitarbeiters/-in   (TV-L E13) 

als Post-Doktorand zu besetzen. Die Stelle ist befristet für 3 Jahre
(Beschäftigungsdauer gem. WissZeitVG). Es wird die Besetzung der Stelle über
die volle Laufzeit angestrebt.

Aufgaben: Physikalische und Numerische Modellierung von Mehrphasenprozessen,
insbesondere von dicht mit Partikeln beladenen mikrofluidischen Strömungen.
Hierzu gehört die Entwicklung numerischer Teilmodelle, insbesondere für
Kollisionen, die Validierung mit Hilfe experimenteller Daten, sowie die
Simulation anwendungsnaher Problemstellungen. Das Projekt baut auf langjährigen
Arbeiten an der Professur zur numerischen Modellierung von Mehrphasenströmungen
mit Hilfe der Immersed-Boundary-Methode auf und hat zum Ziel das existierende
Verfahren für den gewählten Parameterbereich substantiell zu erweitern. Die
Experimente sollen unter Anleitung selbst durchgeführt werden, so dass hier
wietere Qualifikation erworben werden kann. Die Betreuung studentischer Arbeiten
zum Projektthema und eine rege Publikationstätigkeit sind gewünscht. Die
ausgeschriebene Stelle ist Teil der Forschergruppe CoSiMa (Computer-Simulationen
für das Materialdesign) des Dresden Center for Computational Material Science
(DCMS). In dieser Gruppe werden von 12 Lehrstühlen der TU Dresden und 5 weiteren
Kooperationspartnern Simulationen für das Materialdesign durchgeführt. Die zu
besetzende Stelle bearbeitet eines von 10 Teilprojekten dieser Forschergruppe
und ermöglicht neben der Bearbeiteung des eigenen Projekts die interdisziplinäre
Kooperation mit den Nachbarprojekten.

Voraussetzungen: Promotion in Ingenieurwissenschaften, Technomathematik, Physik
oder einem ähnlichem Gebiet mit überdurchschnittlichem Erfolg; sehr gute 
Kenntnisse im Bereich der numerischen Strömungsmechanik, insbesondere der
Algorithmen für Mehrphasenströmungen, und der Physik mikrofluider Strömungen;
hohes Maß an Engagement und Teamfähigkeit, auch auf internationaler Ebene;
sichere Beherrschung der deutschen Sprache.

Bitte senden Sie Ihre Bewerbung mit Anschreiben, Lebenslauf, Noten der
Studenabschlüsse, etc. ausschließlich per E-Mail an

Contact Information:
Please mention the CFD Jobs Database, record #12854 when responding to this ad.
NameProf. Fröhlich, Jochen
Email ApplicationYes
Phone+49 351 463 37607
Fax+ 49 3451 463 35246
AddressProf. Jochen Fröhlich
Institut für Strömungsmechanik
TU Dresden
GEorge-Bähr-Straße 3c
01062 Dresden
Record Data:
Last Modified20:01:54, Sunday, August 30, 2015

► PhD Project: Molecular Dynamics of Organic Solar Cells, University of Bayreuth
   29 Aug, 2015 
Job Record #12733
TitlePhD Project: Molecular Dynamics of Organic Solar Cells
CategoryPhD Studentship
EmployerUniversity of Bayreuth
LocationGermany, Bavaria, Bayreuth
InternationalYes, international applications are welcome
Closure Date* None *
PhD Project

*** Molecular Dynamics of Organic Solar Cells ****

Materials for highly efficient organic solar cells require excellent light
harvesting capabilities but at the same time need to be efficient charge
transporters. Both properties are intimately linked to intra- and intermolecular
arrangements, which often feature the so-called π-π stacking. How exactly the
link between material structure and light harvesting is established and whether
there exist other possibly even more efficient configurations, however, is not
clear at present. 

The aim of the project is to understand this connection using Molecular Dynamics
computer simulations. Various candidate materials such as perylene bisimides and
others are being synthesized by our collaborators in chemistry (group of M.
Thelakkat) and spectroscopically analyzed in the experimental physics department
(group of J. Köhler). The current project will connect to the latter epxeriments
and provide key information in order to understand light harvesting processes
which are not directly available from the measured spectra.

Simulations will be run using the GROMACS Molecular Dynamics package on local as
well as national supercomputing facilities. Analysis tools using advanced
sampling techniques such as Umbrella Sampling or Replica Exchange will be
written by the candidate in C/C++.

The project will be carried out in the framework of the Graduiertenkolleg 1640
“Photophysics of Synthetic and Biological Multichromophoric Systems”. We offer
competitive salary following TVL E-13 66-75%. Research will be conducted in the
Biofluid Simulation and Modeling group at the University of Bayreuth. Bayreuth
is a lively city with a large student population situated in a beautiful natural
setting between the mountains of the Fränkische Schweiz and Fichtelgebirge.

For applications or further information please contact: 

Stephan Gekle,

Contact Information:
Please mention the CFD Jobs Database, record #12733 when responding to this ad.
NameStephan Gekle
Email ApplicationYes
Record Data:
Last Modified12:29:07, Saturday, August 29, 2015

► Developer, Flow Science, Inc.
   28 Aug, 2015 
Job Record #12946
CategoryJob in Industry
EmployerFlow Science, Inc.
LocationUnited States, New Mexico, Santa Fe
InternationalNo, only national applications will be considered
Closure Date* None *
Open position: Developer

General Description: The work of a developer focuses on developing, 
implementing and documenting new additions and modifications to the FLOW-3D® 
software package to meet the increasing demands of the Company’s industrial 
and scientific user base. An important part of the responsibilities is 
maintaining the accuracy, efficiency and stability of all existing features 
of the FLOW-3D® solver.

Experience, skills and knowledge:
a. Deep knowledge and understanding of physics of fluids and heat transfer.
b. Proven experience in numerical methods used in Computational Fluid 
Dynamics (CFD) including heat and mass transfer, and free surface modeling.
c. Proven experience in large-scale software development process and an 
excellent command of FORTRAN 90, or C, or C++.
d. Good understanding and proven experience in parallel programming using 
OpenMP and MPI will be highly valued.
e. Experience in CFD and Finite Element Analysis (FEA) applications in 
industry is a plus.
f. Knowledge of numerical methods used in structural analysis is a plus.

Education: The candidate should have a Ph.D. in the discipline of 
engineering, applied mathematics or physics and at least 5 years of software 
development experience in the industry.

Attributes: The ideal candidate for this position will have excellent oral 
and written communication skills, excellent interpersonal skills, and the 
ability to work both independently and as part of a team.

Principal duties
a. Developing and implementing new additions and modifications to the FLOW-
3D® software package to meet the increasing demands of the Company’s 
industrial and scientific user base.
b. Insuring that the new developments correspond to the company’s general 
development goals and are completed in a timely manner.
c. Insuring that the newly developed algorithms are robust, efficient and of 
high quality, using consistent programming style throughout, ensuring 
readability and clarity of the newly added/modified coding.
d. Documenting the new additions and modifications by writing technical 
notes and amending the User Manual.
e. Maintain accuracy, stability and efficiency of the main solver program, 
including debugging and finding solutions for issues with the existing and 
newly added numerical and physical models.
f. Providing assistance to users, primarily through the Company’s support 
staff, but also directly when necessary.

Benefits: Flow Science offers an exceptional benefits package to full-time 
employees including employer paid medical, dental, vision coverage, life and 
disability insurances, 401(k) and profit sharing plans with generous 
employer matching, and an incentive compensation plan that offers year-end 
bonus opportunity.

Contact: Resumes may be submitted via mail (Flow Science, Attention: Human 
Resources, 683 Harkle Road, Suite A, Santa Fe, NM 87505), fax (505-982-5551) 
or e-mail ( 

Applicants must be available to attend an onsite interview in Santa Fe, New 

Visit our website at for more information about Flow Science, 

Contact Information:
Please mention the CFD Jobs Database, record #12946 when responding to this ad.
NameHuman Resources Manager
Email ApplicationYes
Address683 Harkle Rd Ste A
Santa Fe, NM 87505
Record Data:
Last Modified19:57:15, Friday, August 28, 2015

► Postdoctoral Position (or PhD Student Position) in Computation, TUM
   28 Aug, 2015 
Job Record #12945
TitlePostdoctoral Position (or PhD Student Position) in Computation
CategoryJob in Academia
LocationGermany, Bavaria, Freising
InternationalYes, international applications are welcome
Closure DateTuesday, March 01, 2016
The research group “Fluid Dynamics of Complex Biosystems” headed by Prof. Dr. Natalie Germann has an open position in the field of computational rheology. Area of research The research of Professor Germann’s fluid dynamics group focuses on the rheology of viscoelastic fluids that are of industrial relevance (e.g. wormlike micelles, polymeric solutions). The reason for the unusual rheological properties of viscoelastic fluids is their microstructural dynamics. To establish a more fundamental understanding of viscoelastic fluids, her research group investigates the relationship between their rheology and their microstructure. The research approach combines thermodynamic modeling and numerical simulation with laboratory experiments. More information about Professor Germann’s fluid dynamics group can be found at Your project The collaborative project “Teigrheologie und Oberflächeneigenschaften” (AiF 6474/15 N) between the groups of Profs. N. Germann and Th. Becker is on the relationship between the bulk and surface rheology of dough. The aim is to build a CFD toolbox that can predict the quality of dough already during dough processing. For the validation of the CFD toolbox, experimental data will be provided by the project partner. Your profile We are looking for a talented individual who is excited about research and interested in pursuing an academic career. He/she should be able to work independently as well as to cooperate in an interdisciplinary team of researchers. Applicants should hold a PhD degree (postdoctoral position) or a Master degree (graduate student position) in computational engineering, applied mathematics, or a related field. The project will involve the numerical solution and analysis of viscoelastic fluid models using the software package OpenFoam. He/she should have a solid background in fluid mechanics and computational rheology. Previous experience with OpenFoam and is required. Good communication skills and fluency in both written and spoken English are required. German language skills are desirable. Our offer The Technische Universität von München (TUM) is one of the most renowned universities in Europe. We are offering excellent working conditions in a highly international research environment. The salary is in accordance to the Public Sector Collective Agreement on Länder (TV-L). The wage classification will be carried out after presenting the personal requirements as pay grade TV-L E 13.This salary is awarded as the candidate will also have some teaching and administrative duties. The position can be filled from November 2015 and is initially limited to two years, the second year being contingent on satisfactory progress. Your application 
Please send your application by electronic mail and preferably in one single pdf-document to For full consideration, the application should include a cover letter, a detailed CV, a list of publications, copies of all educational certificates and transcripts of records, a summary of past research activities, evidence of teaching interest and abilities, and three letters of recommendation. The deadline for application is October 31, 2015. Early applications are encouraged; applications may be processed as soon as they are received. TUM is an equal opportunity employer. Qualified women are therefore particularly encouraged to apply. Applicants with disabilities are treated with preference given comparable qualification.
Contact Information:
Please mention the CFD Jobs Database, record #12945 when responding to this ad.
NameProf. Dr. Natalie Germann
Email ApplicationYes
AddressProf. Dr. Natalie Germann
Assistant Professor for Fluid Dynamics of Complex Biosystems
School of Life Sciences Weihenstephan
Technische Universität München
Maximus-von-Imhof-Forum 2
Room O49
85354 Freising / Germany
Record Data:
Last Modified14:32:03, Friday, August 28, 2015

► Attribute engineer for thermal management and aerodynamics, TVS Motor Company
   28 Aug, 2015 
Job Record #12944
TitleAttribute engineer for thermal management and aerodynamics
CategoryJob in Industry
EmployerTVS Motor Company
LocationIndia, TN, Hosur
InternationalYes, international applications are welcome
Closure DateTuesday, December 01, 2015
Attribute engineer for thermal management and aerodynamics of two wheeler 
vehicle and engine system to support product development activity.

•	Numerical modelling of various system, sub-system, and components of a 
two wheeler and a three wheeler using three dimensional CFD and FEA tools. This 
also involves basic hand calculations and usage of one dimensional code.
•	Accessing the performance of a two-wheeler in terms of temperature and 
aerodynamics using experimental methods in climatic and aerodynamic wind 
tunnels. And validation of CFD models to improve its fidelity.
•	Interaction with design and development teams to understand the design, 
participate in DFMEA, get the required information to build the model, followed 
by feedback on the design, suggestions to improve the design keeping in mind 
various cost, manufacturing constrains in mind.
•	Improve and develop methods to capture new failure modes and improve 
predictions for existing failure modes.
•	The candidate should be flexible, has ability to communicate well and 
work pro-actively with the team
•	Basic understanding of the IC engine functions and fundamentals will be 
weighted high.
•	Hands on experience with StarCCM+ will be preferred.
•	Experience of 1-4 years in the relevant area will be preferred.

Contact Information:
Please mention the CFD Jobs Database, record #12944 when responding to this ad.
NameManish Garg
Email ApplicationYes
AddressPB No 4, Harita, Hosur, TN, India
Record Data:
Last Modified11:44:57, Friday, August 28, 2015

► Senior Engineer, Pacific Mindware Engineering Pvt Ltd (Subsidiary of ESI Group)
   27 Aug, 2015 
Job Record #12942
TitleSenior Engineer
CategoryJob in Industry
EmployerPacific Mindware Engineering Pvt Ltd (Subsidiary of ESI Group)
LocationIndia, Maharashtra, Pune
InternationalYes, international applications are welcome
Closure Date* None *
4-6 years experience with Master’s Degree in Mechanical or Aerospace
Engineering, good knowledge of CFD with strong fundamentals. Role requires
substantial experience of applying CFD for various industrial problems. Skill
set in model preparation which is essential part of analysis is a must. Good
understanding of few of the modeling tools like ANSA and CFD solvers like
Fluent, CCM+ is required. Any inclination towards programming or liking of
scripting will have an edge. People with experience in Finite Element codes like
ANSYS, LS-DYNA may also apply.Interested candidates send your resume to
Contact Information:
Please mention the CFD Jobs Database, record #12942 when responding to this ad.
NameSayali Satav
Email ApplicationYes
Record Data:
Last Modified13:57:56, Thursday, August 27, 2015

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