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► Postdoctoral and phd positions in field of ocean engineering, Zhejiang University
    6 Feb, 2016 
Job Record #12679
TitlePostdoctoral and phd positions in field of ocean engineering
CategoryJob in Academia
EmployerZhejiang University
LocationChina, Zhejiang Province, Hangzhou
InternationalYes, international applications are welcome
Closure Date* None *
Description:
Institute of Hydraulic Structures and Water Environment, College of Civil 
Engineering and Architecture, Zhejiang University (China) offers 2 PhD or 
postdoctoral positions in the field of hydraulic and ocean Engineering.

Introduction to Zhejiang University
Located in the historical and picturesque city of Hangzhou, Zhejiang University 
is a prestigious institution of higher education with a long history. 
For more information: http://www.zju.edu.cn/english/

Project background
Position A is dynamic analysis and health monitoring of offshore structures. 
Position B is about regulation of wave energy. The aim of the 
position is computational fluid dynamics (CFD) simulations complemented by 
scale experiments. A physics research background is an advantage but is not 
essential. 

PhD position for highly motivated and talented students wishing to undertake 
and complete training for a research-focused doctoral degree in field of 
hydraulic and ocean Engineering. 

The postdoctoral position is open until it is filled.

Contact
Interested applicants are encouraged to email your CV to Dr. Wang at 
15479573(at)qq.com. 
Contact Information:
Please mention the CFD Jobs Database, record #12679 when responding to this ad.
NameDr. Wang
Email15479573@qq.com
Email ApplicationYes
Record Data:
Last Modified16:57:27, Saturday, February 06, 2016

► Flow Modelling and Control for Agile Delta Wings, University of Southampton
    5 Feb, 2016 
Job Record #13262
TitleFlow Modelling and Control for Agile Delta Wings
CategoryPhD Studentship
EmployerUniversity of Southampton
LocationUnited Kingdom, Southampton
InternationalYes, international applications are welcome
Closure DateWednesday, August 31, 2016
Description:
Delta wings, a paradigmatic configuration of highly swept wings, are common platforms for 
investigating highly manoeuvrable and agile high-speed civil and military aircrafts. At moderate 
angles of attack, two counter-rotating vortical structures form at the leading edge, greatly 
enhancing lift. Although the time-averaged flow is generally symmetric, unsteady, three-
dimensional features such as vortex wandering, breakdown, instability, flow separation and 
reattachment adversely impact performance characteristics, maneuvrability and handling 
qualities, especially in highly dynamic flight conditions. Despite recent advances in 
understanding key mechanisms in unsteady vortical flows past highly-swept wings, progress in 
the ability to design effective flow control strategy to manipulate their spatio-temporal 
behaviour with the goal of increasing maneuverability, has remained more elusive. 

A promising strategy to achieve this goal lies in reduced order modelling, a key area of 
research in computational modelling, consisting in distilling the complex dynamics of a high-
dimensional system in a greatly reduced number of degrees of freedom, enabling huge 
reductions of the computational costs in many problems of optimisation, control and design. A 
distinguishing feature of nonlinear ROMs of high-Reynolds-number flows is the large sparsity 
that exists in the linear/nonlinear energy transfers between the modes, the interconnected 
components of the model. This sparsity is physically determined by the inherent multi-scale 
nature of turbulent motion that results in a huge disparity in length scale across energy-
containing and dissipative modes. Exploiting this feature holds promise to dramatically 
decrease the computational costs associated to the models, because sparse systems have few 
interconnected components that need to be evaluated to propagate the dynamical system 
forward. Advances in computational methods to construct reduced order models (ROMs) of 
unsteady vortical flows hold promise to improve controllability of the flow around delta wings 
and increase the aerodynamic performance.

The objective of this PhD project will be to develop a hierarchy of control-oriented nonlinear 
ROMs of unsteady vortical flows past the SACCON configuration, a delta wing geometry which 
has been designed for research purposes. The focus will be on the development of new 
sophisticated methods to unravel and exploit sparsity, borrowing techniques from statistics 
and machine learning. Algorithmically, this work will be grounded on sparse regression 
methods, namely L1-based regression algorithms such as LASSO or LARS. High-fidelity 
numerical simulations of the flow around the delta wing geometry will be performed in a first 
stage on the High Performance Computing facilities of the University of Southampton to 
generate a large flow database. Sparsity preserving ROMs will be then constructed by mining 
this database and will be used to extract physical insight into low-dimensional aspects of the 
flow dynamics. In a second stage, control oriented ROMs will be constructed by including the 
effects of leading-edge actuator devices, introduced to manipulate the flow dynamics and 
affect handling qualities. A reduced-order, optimal control framework will then be developed to 
investigate control in practical applications such as highly transient maneuvers and loads 
alleviation in atmospheric turbulence.

The ideal candidate has completed a degree in Aerospace, Mechanical or Computational 
engineering. Programming experience in Python and/or C/Fortran languages is instrumental, as 
well as familiarity with parallel programming and a natural inclination for mathematical 
modelling. Scholarship covering stipend and tuitions fees is available only to EU/UK candidates.

If you wish to discuss any details of the project informally, please contact Davide Lasagna, 
Aerodynamics and Flight Mechanics group, Email: davide.lasagna@soton.ac.uk, Tel: +44 (0) 
2380594907.
Contact Information:
Please mention the CFD Jobs Database, record #13262 when responding to this ad.
NameDavide Lasagna
Emaildavide.lasagna@soton.ac.uk
Email ApplicationYes
Phone+447707734743
Fax+447707734743
Record Data:
Last Modified16:37:39, Friday, February 05, 2016

► CFD Application Engineer , CD-adapco
    4 Feb, 2016 
Job Record #13288
TitleCFD Application Engineer
CategoryJob in Industry
EmployerCD-adapco
LocationUnited States, Orlando, Florida
InternationalNo, only national applications will be considered
Closure DateTuesday, March 01, 2016
Description:
Due to the nature of this role, US citizenship or US Permanent Residency is 
required.

CD-adapco (www.cd-adapco.com), a world leader in developing cutting edge 
simulation software and solutions for a wide variety of complex fluid flow, 
chemical reactions and heat transfer problems, is looking to expand our 
team.  As part of our continued growth we are seeking a highly motivated CFD 
engineer to join our customer support organization to provide technical 
advice in all aspects of engineering analysis to clients in Oil & Gas and 
Marine Industry.

The Application Engineer is responsible for managing a selected set of 
customer accounts to ensure the technical success of our software.  They are 
expected to work closely with customers to understand their engineering 
workflow and processes and propose solution methodologies and best practices 
to help customers meet their objectives.  The role includes training and 
mentoring of customers, assisting sales, providing direct customer support 
and conducting pro-active initiatives to grow usage within the set of 
assigned accounts.  Excellent communication skills and a desire to work with 
clients are critical to success in this fast-paced and broad engineering 
role. If you are creative, entrepreneurial in nature, and demonstrate good 
communication skills, we would like to hear from you.   This position may 
require up to 20 percent travel. 

By joining CD-adapco in an engineering role working with our customers, you 
will not find yourself confined to a cubicle, you will be engaged with 
fascinating, varied engineering challenges mixed with opportunities to 
travel to, and directly engage with, many different customers who will look 
to you for your engineering knowledge and skill. All of this in a team-based 
dynamic environment provides the CD-adapco engineer with one of the 
strongest engineering skill sets in the world.

QUALIFICATIONS:
Minimum requirements include:
•	M.S. or Ph.D. in Mechanical, Chemical or related field with focus on 
computational methods, fluid dynamics.
•	Demonstrated experience with computational methods in combustion, 
experience in STAR-CCM+ preferred.
•	Knowledge of reaction kinetics
•	Ability to work independently and in a team environment
•	Excellent communication and presentation skills
CD-adapco offers a stimulating working environment, competitive benefits 
including a performance based bonus and job growth opportunities. All 
qualified applicants are encouraged to submit a resume and cover letter 
outlining your unique qualifications by selecting the “Apply Now” option 
above.

CD-adapco is an equal opportunity employer.  All qualified applicants will 
receive consideration for employment without regard to race, color, 
religion, national origin, citizenship, marital status, gender, age, sex, 
sexual orientation, gender identity, genetic information non-discrimination 
or protected veteran status and will not be discriminated against on the 
basis of disability.  All employment is decided on the basis of 
qualifications, merit and business need.

If you are an individual with a disability and would like to contact us 
regarding the accessibility of our site, need assistance completing the 
application process or would like to request a reasonable accommodation, 
please contact the Human Resources Manager at hr-us@cd-adapco.com.

EOE/AA - Females/Minorities/Protected Veterans/Individuals with Disabilities

About CD-adapco
CD-adapco is the world's largest independent CFD-focused provider of 
engineering simulation software, support and services. We have over 30 years 
of experience in delivering industrial strength engineering simulation. The 
scope of our activities extends well beyond software development to 
encompass a wide range of CAE engineering services in both CFD and FEA.

We have over 8,000 users of our software, working at 3,000 different 
companies, spending over $181 million on our software and services. Our 
customer approval ratings are very high; in our last customer survey 93% of 
our customers declared themselves satisfied, or very satisfied with our 
software and services, a fact reflected in a consistently high customer 
retention rate.

Consistently growing at an organic rate of over 15% per year, CD-adapco 
employs over 925 talented individuals, working at 40 offices around the 
globe, involved in dedicated support, software development and engineering 
services.

Contact Information:
Please mention the CFD Jobs Database, record #13288 when responding to this ad.
NameAngela Arvon
Emailangela.arvon@cd-adapco.com
Email ApplicationYes
Phone6315492300
Fax6315492300
Address60 Broadhollow Road
Record Data:
Last Modified19:19:59, Thursday, February 04, 2016

► CFD Engineer, Ben Ainslie Racing/Land Rover BAR
    4 Feb, 2016 
Job Record #13287
TitleCFD Engineer
CategoryJob in Industry
EmployerBen Ainslie Racing/Land Rover BAR
LocationUnited Kingdom, Hampshire, Portsmouth
InternationalYes, international applications are welcome
Closure DateMonday, February 29, 2016
Description:
As part of the CFD group, reporting to the CFD team leader, your role will be to prepare, run and analyse 
the results of the CFD simulations on all required parts of our race boat (boards, rudder, wing & jib, 
platform, etc.)
 
Responsibilities will include:
•	Simulations - Setup and running of CFD simulations on our in-house cluster.
•	Reporting - Interpretation & analysis of results and summarising for the wider design and sailing team 
to make use of them.
•	Automation - Development of scripts and macros to manage the automated CFD tasks.
•	Development - Of novel methods and techniques to tackle new problems in fluid dynamics analysis.
•	Interaction with the wider design team
o	Designers to assist parametric modelling of components
o	Instrumentation engineers to use measured data for validation of simulations
o	Structural engineering team to specify component loads
o	Simulation team to parameterise our boat simulation models
 
We are looking for an experienced, intelligent, professional engineer, with particular attention to the 
following personal attributes:
•	Intelligent and technically sharp - high grade MEng or similar level qualification from a reputable 
university. 
•	Experience:
o	Proficient with StarCCM+ with several years experience with that code
o	Programming skills in MATLAB, Java and Python 
o	Experience in Linux HPC environment
o	Experience in managing projects to a high standard and keeping deadlines
o	Experience in Parametric Modelling, Finite Element Analysis, Fluid Structure Interaction and Co-
Simulation and Design Optimisation will be a plus
•	High standard of care and attention to the quality of your work - including good practice record 
keeping, documentation, standards / conventions.
•	Mature, responsible, autonomous, team player - capable of leading development projects.
 
Flexible working hours and the ability to work well under pressure are both central to this role, along with 
excellent interpersonal and communication skills.

Individuals must hold either a European passport or have the correct visa documentation that enables them 
to work and remain the UK before applying for this position.
Contact Information:
Please mention the CFD Jobs Database, record #13287 when responding to this ad.
NameJoanna Despard
Emailrecruitment@landroverbar.com
Email ApplicationYes
URLhttp://benainslieracing.com
AddressLand Rover BAR
The Camber
East Street
Portsmouth, PO1 2JJ
Record Data:
Last Modified11:21:12, Thursday, February 04, 2016

► Engineering Specialist, Bechtel National, Inc.
    3 Feb, 2016 
Job Record #13286
TitleEngineering Specialist
CategoryJob in Industry
EmployerBechtel National, Inc.
LocationUnited States, Virginia, Reston
InternationalNo, only national applications will be considered
Closure DateSunday, March 27, 2016
Description:
Responsible for performing computational fluid dynamics (CFD) analyses, 
including model building (meshing), problem formulation, presenting of results, 
and writing reports.  Work independently, with minimal supervision, to execute 
the CFD tasks necessary to complete the work assignments. Work with customers 
to prepare proposals, gather the correct input information for the models and 
receive customer input and edits in finalizing calculations and reports.

Prepare and present proposals to technical leaders and project management to 
further the usefulness and acceptability of CFD throughout the company. 

Additional Information

Computational fluid dynamics (CFD) is the branch of engineering science where 
the governing equations for fluid and heat flow are solved numerically. 
Specialization in CFD requires a firm theoretical understanding of fluid flow 
and heat transfer physics, and a strong background in areas of applied 
mathematics to include linear algebra, partial differential equations, 
discretization and numerical solution of partial differential equations.

 

Basic Qualifications
•Master’s Degree in Mechanical/Chemical/Aerospace Engineering , specializing in 
computational fluid mechanics and numerical heat transfer, with 7 years 
industry experience.  
•Demonstrate advanced level course work in, fluid dynamics, heat transfer, 
combustion, compressible flow, multiphase flow, numerical simulation of fluid 
flow or related areas.
•Must be a United States citizen.
•Must have or be able to obtain PE certification within 1 year of hire.

Minimum Qualifications
•Proven capability in written/verbal communication skills i.e., published 
papers and conference presentations.

Preferred Qualifications
•PhD in Mechanical/Chemical/Aerospace Engineering , specializing in 
computational fluid mechanics and numerical heat transfer, with 6 years 
industry experience.  Demonstrate advanced level course work in, fluid 
dynamics, heat transfer, combustion, compressible flow, multiphase flow, 
numerical simulation of fluid flow or related areas.
•Industry experience with the Fluent and/or Star-CCM+ CFD codes.
•Familiarity with CAD and mesh generation software program.
Contact Information:
Please mention the CFD Jobs Database, record #13286 when responding to this ad.
NameKelly J Knight
Emailkknight@bechtel.com
Email ApplicationNo
Phone703.429.6245
URLhttp://jobs.bechtel.com/professional/job/Reston-Engineering-Specialist%2C-NS&E-Job-VA-20190/320026300/
AddressBechtel National, Inc.
12011 Sunset Hills Rd
Suite 110
Reston, VA 20190
Record Data:
Last Modified23:59:43, Wednesday, February 03, 2016

► Development engineer CFD modeling, Osram Opto Semiconductors GmbH
    3 Feb, 2016 
Job Record #13285
TitleDevelopment engineer CFD modeling
CategoryJob in Industry
EmployerOsram Opto Semiconductors GmbH
LocationGermany, Bavaria, Regensburg
InternationalYes, international applications are welcome
Closure Date* None *
Description:
Development engineer (m/f) modeling

Your tasks:

– Independent simulation of processes by means of CFD using commercial CFD   
software
– In particular simulation of MOVPE reactor processes, but also processes in 
which multi-phase flows are of importance
– Development of proposals for process optimization 
– Support of development and research projects
– Self-dependent advancement of existing and development of new simulation 
models within the available CFD software
– Close collaboration with process engineers responsible for the processes to 
be modelled
– Initiation and follow-up of necessary experimental work for simulation model 
calibration and validation

Your profile:

– Completed studies of mechanical engineering, physics, chemical engineering, 
computational mechanics, electrical engineering or similar
– Relevant professional experience or experience in CFD modeling and with 
corresponding simulation software
– Some knowledge in programming languages FORTRAN and Matlab 
– Business fluent English
– Good communications skills and team work oriented personality
– Self-dependent and responsible way of working
– High motivation and assertiveness
– Goal-oriented and analytic way of working
– Ability to adapt to new topics quickly

Contact Information:
Please mention the CFD Jobs Database, record #13285 when responding to this ad.
NameHarald Laux
Emailharald.laux@osram-os.com
Email ApplicationYes
URLhttp://www.osram-os.com
AddressDr. Harald Laux
Osram Opto Semiconductors GmbH
Leibniz Str. 4
D-93055 Regensburg
Record Data:
Last Modified20:13:55, Wednesday, February 03, 2016

► A model for reproducing gas-liquid flow regimes transition, CEA Center of Saclay
    3 Feb, 2016 
Job Record #13284
TitleA model for reproducing gas-liquid flow regimes transition
CategoryPhD Studentship
EmployerCEA Center of Saclay
LocationFrance, France, Saclay (Paris)
InternationalYes, international applications are welcome
Closure DateThursday, September 29, 2016
Description:
During a loss-of-coolant accident in a Pressurized Water Reactor (PWR), in order
to re-establish the normal level of primary coolant in the reactor, a cold
liquid flux (at 15◦ C) is injected. The temperature difference between the cold
layer and the hot reactor vessel, can produce a crack in the vessel. This
phenomenon is called Pressurized Thermal Shock (PTS). In these conditions, the
flow is characterized by several phenomena: turbulence, phase change and flow
regime/pattern changes. A predictive simulation of the PTS phenomenon requires a
two-phase model that should be able to reproduce several turbulent flow regimes.

The objective of this thesis consists in the formulation and the implementation
in NEPTUNE_CFD code of an Interface-Capture-based schemes in order to improve
the description of the liquid/vapor interface convection. Moreover, the regime
identification criteria will be enriched with other complementary criteria.
Results will be assessed within a verification and validation process, relying
on the experimental data provided by the two facilities REGARD and METERO,
located at the CEA-Saclay center. Finally, a particular attention will be
devoted to understand in which kind of flow regime, the equilibrium pressure
hypothesis of the model could be too strict in order to capture some important
physical features. In fact, actually, a two-phase six equation model is used
within the Neptune-CFD code, based on the hypothesis of pressure equilibrium
(equality of the phase pressures). In some regimes, such as the bubbly or wavy
flows, this hypothesis could neglect important aspects of the phase/turbulence
interaction.
Contact Information:
Please mention the CFD Jobs Database, record #13284 when responding to this ad.
NameMaria Giovanna Rodio
Emailmariagiovanna.rodio@cea.fr
Email ApplicationYes
Record Data:
Last Modified17:33:27, Wednesday, February 03, 2016

► CFD based data assimilation method for dispersion of pollutants, KU Leuven and SCK
    3 Feb, 2016 
Job Record #13282
TitleCFD based data assimilation method for dispersion of pollutants
CategoryPhD Studentship
EmployerKU Leuven and SCK
LocationBelgium, Leuven, Mol
InternationalYes, international applications are welcome
Closure DateSunday, March 20, 2016
Description:
PhD Position on development and validation of an on-line CFD based data assimilation method for dispersion of nuclear pollutants under different atmospheric stratification regimes

Promoter: J. Meyers, J. Camps (SCK)
Contact: Prof. dr. ir. J. Meyers, Department of Mechanical Engineering, Celestijnenlaan 300A, B3001 Leuven, Belgium. T: +32(0)16 322502. F: +32(0)16 322985. U: http://www.mech.kuleuven.be/en/tme/research/tfso/

This PhD position is based in the Turbulent Flow Simulation and Optimization (TFSO) research group headed by Prof. Dr. Johan Meyers, which is part of the department of Mechanical Engineering; and in the Crisis Management and Decision Support of the SCK (Belgian Nuclear research center) in Mol. The PhD candidate will perform his research during 10 to 20% of his time in Leuven, and the rest of the time in Mol, with local co-supervisor Dr. Johan Camps. The PhD research focuses on the simulation of atmospheric dispersion of nuclear pollutants using large eddy simulations, and their use for the derivation of fast reduced-order models that can be used for online monitoring and safety planning.

INTRODUCTION

In order to assess the impact of nuclear and radiological incidents with releases to the atmosphere, dose and dispersion models are used. Such model calculations are indispensable during the licensing phase of nuclear installations, during the emergency planning phase, during the release phase combined with monitoring for on-line impact assessment and response and during the post-release phase for dose reconstruction calculations. At the near range, i.e. typically within the first kilometer around the affected nuclear installation, the atmospheric dispersion is strongly influenced by local effects such as buildings and vegetation. Nuclear installations form often a complex terrain of buildings, chimneys and cooling towers all embedded in a natural environment (along river or coast, forested region, ...). This makes dispersion simulations within this range too challenging for classical nuclear and radiological atmospheric dispersion models, such as Gaussian based plume and puff models. However, the near range can be specifically interesting to determine:
- the maximal impact of potential releases (often close to the release point);
- the planning of evacuation routes;
- the potential impact on the operators mitigating an incident;
- the optimal locations for the installation of monitoring equipment around the site;
- release rate estimations based on data assimilation.

State-of-the-art research conducted at SCK.CEN in collaboration with the KU Leuven has demonstrated the large potential of computational fluid dynamics (CFD) in simulating the atmospheric dispersion at the near-range. It was demonstrated that a significantly improved accuracy over existing dispersion models can be obtained using Reynolds Averaged Navier-Stokes (RANS) CFD [1]. Furthermore, simulations using Large Eddy Simulation (LES) turbulence modeling have led to a much better understanding regarding the substantially different time-dependent behavior of the cloud gamma dose rate and the instantaneous concentrations [2]. Although CFD computations are known to be very time-consuming, very recent research showed that the application of model reduction techniques can reduce the computational requirements to a level even suited for emergency response situations. However, a number of challenging research questions remain to be addressed before coming to an operational and well validated model.

[1] Vervecken, Camps, Meyers (2013), Accounting for wind-direction fluctuations in Reynolds-avergaed simulation of near-range atmospheric dispersion. Atmospheric environment, 72, 142-150
[2] Vervecken, Camps, Meyers (2014), Dynamic dose assessment by Large Eddy Simulation of the near-range atmospheric dispersion. Radiological Protection, accepted for publication

OBJECTIVE

The main goals of the PhD will be twofold:
- Research on sound numerical simulation methods for the extension of the present model to non-neutral atmospheric stratification and including vegetation and terrain effects. This also includes the development of specific model reduction techniques for these simulation types to guarantee reasonable calculation times in view of the future development of an operational model.
- The validation of the numerical simulations by acquiring a sound and complete experimental dataset around a nuclear facility.

MODEL DEVELOPMENT AND NUMERICAL SIMULATIONS

The simulation framework that will be used for this PhD-study is a state-of-the-art Pseudo-spectral LES solver SP-WIND, which is currently under development at KU Leuven. This higher-order CFD code is optimized for the fast and accurate evaluation of the wind field in the atmospheric boundary layer under different types of stratification. As such, the code is ideal for the characterization of the wind field and the continuation of the dispersion research at the near-range. However, as a first step, SP-WIND needs to be extended to be able to simulate the transport of radioactive gases and to account for vegetation and terrain effects. Secondly, continued research on model reduction is essential to account for these new developments. Finally, an optimal estimation methodology for the model parameters needs to be established to simulate the transition between different weather patterns using the reduced model.

VALIDATION

Validation of numerical simulations will be a key issue to convince the CFD and nuclear community to further develop and use these type of models for performing assessments in the near range. The collection of a high quality dataset is in this context very important. The release of small but measureable quantities (below any health concern) of radionuclides from nuclear installations such as the BR1 (Ar-41) and the Institute of Radioelements (Xe-133, ..) can be used to create such a dataset. Particularly interesting of these installation is that release quantities are well known and existing fence monitoring around these installations gives continuously data on radionuclide fluency rates and/or dose rates. Additional detectors (radiological and meteorological) could be deployed to complete the dataset. However, thorough calibration (cloud calibration) and data collection issues (representative data and locations, ...) should be resolved. The calibration of a "small" detector in combination with a large and irregular 3D source (the cloud) is challenging. Monte Carlo simulations, often used as part of detector calibrations for specific geometries, are extremely inefficient in such a case. Apart from testing the models developed within the context of this Ph.D., this dataset will be unique for the international community to test atmospheric dose and dispersion models at the near range.

CANDIDATE PROFILES

Ideal candidates have a master degree in one of the following or related fields: fluid mechanics, aerospace or mathematical engineering, numerical mathematics, or computational physics. They should have a good background or interest in fluid mechanics, simulation, and programming (Fortran, C/C++, Matlab, python, ...). Proficiency in English is a requirement. The position adheres to the European policy of balanced ethnicity, age and gender. Both men and women are encouraged to apply.

APPLICATION

Application follows a two-stage procedure. Selected candidates after the first stage proceed to the second stage.

First Stage: Send your application to Prof. J. Meyers and Dr. J. Camps with subject ‘Application PhD SCK/KULeuven’. Please include in your application:
a) an academic CV and a PDF of your diplomas and transcript of course work and grades
b) a statement of research interests and career goals, indicating why you are interested in this position
c) a sample of technical writing, e.g. a paper with you as main author, or your bachelor or master thesis
d) a list of at least two references: names, phone numbers, and email addresses
e) some proof of proficiency in English (e.g. language test results from TOEFL, IELTS, CAE, or CPE)

Deadline First Stage: send your application as soon as possible, and preferably before March 10, 2016

Second Stage: Remaining candidates are asked to send in their application through the SCK online application form (applications by email will not be considered anymore at this stage). Further details will be provided.

Deadline Second Stage: March 25, 2016

See also SCK listing of the position and general information on PhD at SCK

Contact Information:
Please mention the CFD Jobs Database, record #13282 when responding to this ad.
NameJohan Meyers
Emailjohan.meyers@kuleuven.be
Email ApplicationYes
Record Data:
Last Modified10:31:43, Wednesday, February 03, 2016

► CFD Engineer, CFMS Services Limited
    2 Feb, 2016 
Job Record #13280
TitleCFD Engineer
CategoryJob in Industry
EmployerCFMS Services Limited
LocationUnited Kingdom, Bristol
InternationalYes, international applications are welcome
Closure Date* None *
Description:
Overview:
The Centre for Modelling and Simulation (CFMS) has an exciting opportunity for an experienced CFD 
Engineer looking to provide advanced modelling and simulation solutions to a broad range of 
technology-based businesses.  CFMS works closely with leading industries and academics to 
develop and deploy new software and hardware tools for faster, more effective simulation-based 
design.  We seek an enthusiastic and self-motivated CFD specialist to join our team. 

Job Purpose:
CFMS has been formed to develop and demonstrate new CFD and high-performance computing 
(HPC) technologies to end–user organisations.  We work with companies who are experienced in the 
use of CFD, and also those wanting to make greater use of simulation.  We work closely with 
academics and technology suppliers to create and evaluate CFD and HPC solutions.  We are keen to 
lower the barrier to entry for new organisations wanting to use CFD, and provide an environment for 
experienced users to assess alternatives in addressing their (usually increasing) requirements.  

Thus the role of the CFD Engineer is both “hands-on” support to new users and also to drive new 
innovations.   The CFD Engineer should be able to clearly state technical CFD requirements for CFMS 
to address, and provide first-hand knowledge of the impact that such developments can make for the 
end user.  The CFD Engineer will work with the CFMS HPC specialists to understand the impact of 
new IT offerings (hardware and software) on CFD.

The right candidate will have a good fundamental understanding of CFD techniques, with either 
commercial or academic experience in applying CFD. 

Key Responsibilities:
•	Developing new CFD solutions in partnership with our academic and technology partners.  
•	Providing CFMS customers with application level support. 
•	Providing CFD technical leadership to new research programmes. 
•	Publishing papers and support documentation. 

Key Relationships: 
•	Customers.
•	Software vendors.
•	Collaborative research partners. 
•	Academic research community.
•	Industrial technology suppliers.  
•	Operational support.

Decision Making:
•	Identification of new research and technology development priorities. 
•	Determining appropriate CFD solutions for customer requirements. 
•	Prioritisation of tasks for timely and accurate delivery. 

Problem Solving:
•	Technical expertise applied to meeting existing customer needs in CFD simulation. 
•	Finding appropriate tools and technologies to meet new requirements.
•	Determing when new technologies are required to meet aspirational requirements. 
•	Working with others to address conflicting requirements. 
•	Amends priorities to ensure delivery to timelines when circumstances warrant it
•	Highlight potential overruns due to issues arising from reviews
•	Escalation of issues to ensure dealt with promptly and costs re-evaluated

Experience:
•	University level education (Masters or PHD) in related subject
•	Commercial or academic experience in the authoring and / or application of CFD. 


Skills, Knowledge and Competencies: 
Interpersonal
•	Customer focus 
•	Teamwork 
•	Self development 
•	Attention to quality 
•	Managing self 
•	Initiative 	Technical
•	Fundamental understanding of engineering design and CFD techniques.
•	Good understanding of commercial CFD solvers (Fluent or STAR-CCM+)
•	Good understanding of open source CFD solvers (OpenFOAM)



Measurement Data:

•	Manager review comments
•	Customer feedback

Contact Information:
Please mention the CFD Jobs Database, record #13280 when responding to this ad.
NameSam Paice
Emailsam.paice@cfms.org.uk
Email ApplicationYes
URLhttp://cfms.org.uk
Record Data:
Last Modified15:18:17, Tuesday, February 02, 2016

► Ph.D./Postdoc position on OpenFOAM modelling of crystal growth, Montanuniversitaet Leoben
    2 Feb, 2016 
Job Record #13279
TitlePh.D./Postdoc position on OpenFOAM modelling of crystal growth
CategoryJob in Academia
EmployerMontanuniversitaet Leoben
LocationAustria, Leoben
InternationalYes, international applications are welcome
Closure DateFriday, April 01, 2016
Description:
We are still seeking a candidate for an Ph.D./Postdoc position on "OpenFOAM
modelling of crystal growth, sedimentation and visco-plasticity of the packed
bed during solidification of alloys"

Topic of Research
During solidification of some alloys equiaxed grains form, grow and move. Small
grains are carried with the melt flow, while with further growth grains often
sink down and sediment. At a certain dense packing, they form a coherent network
with intergranular/interdendritic liquid. Such a semi-solid slurry is known to
have visco-plastic flow behavior. In addition, thermal contraction leads to a
deformation of the solidifying part. In order to describe these phenomena it is
suggested to combined three simulation approaches in the present project
proposal: (i) a modeling approach which describes growth and sedimentation of
crystals, (ii) a modeling approach which describes the mechanical behavior of
the sedimented layer (visco-plasticity) and (iii) a modeling approach to
describe the thermal contraction of the cast part. Recent developments describe
the combined modelling of fluid/gas flow and deformation of solids (FSI:
fluid-structure interaction), e.g. gas flow in exhaust pipes. The ideal
candidate will investigate even more complicated configurations where the
combination of flow with deformations in a solid is not done via a given surface
(as in FSI) but through an a priory unknown volume, the two phase mushy zone.

Education/Experience
- Requires a Bachelor/Masters/PhD degree in a relevant subject, e.g. metallurgy,
engineering, physics, mathematics, computing;
- Must have 2 or more years experience with CFD;
- Experience with programming in OpenFOAM and/or C++ is essential;
- Needs to demonstrate an interest in scientific programming, e.g. through
software projects and published work;
- Experience in using, assessing and developing computational methods is desirable;
- Applicants must be fluent in written English and have the ability to publish
research papers at international level academic journals. 

We offer:
- 3 years position at the Montanuniversitaet Leoben (40 h per week);
- Postdoc: 50.269 EUR per year (gross);
- Ph.D.: 37.751 EUR per year (gross);
- 25 working days holidays per year;
- Start on Mai 1st 2016 
Contact Information:
Please mention the CFD Jobs Database, record #13279 when responding to this ad.
NameProf. Ludwig
Emailinfo.smmp@unileoben.ac.at
Email ApplicationYes
URLhttp://smmp.unileoben.ac.at
AddressMontanuniversitaet Leoben
Franz-Josef-Strasse 18
A-8700 Leoben
Record Data:
Last Modified10:53:55, Tuesday, February 02, 2016

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