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► CFD Software Engineer - Adjoint Flow Solver - w/m, Siemens Industries Software
   23 Feb, 2024 
Job Record #19012
TitleCFD Software Engineer - Adjoint Flow Solver - w/m
CategoryJob in Industry
EmployerSiemens Industries Software
InternationalYes, international applications are welcome
Closure Date* None *
Siemens Software, a business unit of the Siemens Digital Industries, is a leading global provider of software solutions to drive the digital transformation of industry, creating new opportunities for manufacturers to realize innovation. About the role Are you ready to take your CFD software development skills to the next level? We are seeking software development professionals to contribute to our Adjoint (ADJ) program. The primary focus of the ADJ team, a unit within our Computational Fluid Dynamics (CFD) division, is the computation of flow sensitivities using the adjoint method and the development of gradient-based optimization workflows within Siemens Digital Industries’ flagship multi-physics simulation product, Simcenter STAR-CCM+. The ADJ development team is responsible for developing accurate, robust, and efficient solvers for computing the derivatives of complex industrial flows, and for exploiting these derivatives to solve optimal design problems. As a team member, you will be expected to contribute to the innovation and development of new features and the improvement and maintenance of existing functionality. Your responsibility will be to ensure a well-designed, high-quality, robust implementation; efficient operation; and good scalability in our highly parallel, client-server platform. Working in Agile and international environment, and participating in regularly scheduled team meetings to share your ideas to drive innovation in our technology, you contribute to the success of our solutions by: • Participating in design and development of core adjoint solver capabilities and of gradient-based optimization workflows in Simcenter STAR- CCM+. You ensure high-quality and robust implementation of core adjoint solver capabilities and of features to enable shape and topology optimization in Simcenter STAR-CCM+. • Supporting maintenance of our existing capability (bug fixing, code refactoring, etc.) and designing as well as developing new features based on requests from both product management and internal strategic initiatives. • Supporting other developers through design discussion and code review. Your qualifications We would love to hear from you as a passionate engineer or if you have a PhD in engineering or physical science discipline, ideally focusing on the adjoint method and its application to shape or topology optimization in the context of fluid and thermal transport problems. You are experienced in commercial CFD software development. On top of your technical expertise, you show good collaborative skills and enthusiasm towards working in international and distributed team. To succeed in this position and deliver best in class solutions, you should bring proven experience with: • Numerical solution of shape and topology optimization problems, including implementing and testing adjoint solvers for the flow equations, as well as high-fidelity and high-performance parallel CFD algorithms. • Expertise in development of complex software applications using modern design patterns and principles, including object-oriented C++ software development. In addition, preference will be given to candidates with the following skills and experience: • Expertise in areas of physical science: thermodynamics, heat transfer, multiphase, or combustion; in application of CFD methods: vehicle aerodynamics, internal combustion engines, turbomachinery. • Experience with C++ Expression Templates and Template Meta-Programming; GPGPU programming; Java programming   Working at Siemens Software Siemens is not the same manufacturing company of the past. We are helping our customers get to tomorrow faster through innovation, digitalization and are transforming alongside them. We are a modern, forward looking software company, with the opportunities of a large corporation, where your opportunities are endless. The role you apply for today, is only the first step in your Siemens journey. Working at Siemens Software means flexibility - Choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as you'd expect from a world leader in industrial software. We are diverse, show respect and believe everyone deserves an opportunity. Flattening hierarchies, celebrating individual contributions, expressing different ways of thinking and embracing flexibility to respect life beyond work.
Contact Information:
Please mention the CFD Jobs Database, record #19012 when responding to this ad.
NameRenaud, Chloé
Email ApplicationNo
Record Data:
Last Modified16:42:59, Friday, February 23, 2024

► Turbulence model improvements for jet flows using PIML, University of Nottingham
   23 Feb, 2024 
Job Record #19011
TitleTurbulence model improvements for jet flows using PIML
CategoryPhD Studentship
EmployerUniversity of Nottingham
LocationUnited Kingdom, Nottinghamshire, Nottingham
InternationalYes, international applications are welcome
Closure DateMonday, April 01, 2024
Net-zero aerospace targets [1,2] have been a dramatic engineering driver to 
increased combustion and turbine entry temperatures in gas turbine systems with 
kerosene and next-generation hydrogen combustors. In turbine and combustion 
systems within gas turbines, near-wall jet flows are present in a range of 
cooling applications. Accurately modelling near-wall jets flows in Computational 
Fluid Dynamics (CFD) is important in understanding the performance and lifetime 
of turbine and combustor components where Han et al. [3] report that a 2% error 
in predicted metal temperature can halve the component lifetime. However, 
current Reynolds-Averaged Navier-Stokes (RANS) turbulence models provide large 
uncertainties in the adiabatic wall temperature. 

Physics-Informed Machine Learning (PIML) [4] combines machine learning 
algorithms with the physical equations for the modelled phenomena. In RANS 
applications PIML can be used to train functional models of turbulent closures 
using training data from high-fidelity LES data and sparse experimental 
datasets. The incorporation of both high-fidelity computational data with 
experimental data is a novel area of interest and should be investigated and 
incorporated into the model. In addition, the PhD project should investigate 
interpretability methods of deep machine learning methods. The PhD aims to 
produce understandable machine-learnt turbulence models that provide improved 
predictive accuracy at low cost to a range of near-wall jet cases applicable to 
the gas-turbine industry. Furthermore, the PhD will provide a PIML strategy that 
can be extended to other engineering applications.

The results of this PhD will be disseminated at conferences and high-quality 
journals. Suitable journals include the Journal of Fluid Mechanics, Physics of 
Fluids, Journal of Computational Physics, Computers and Fluids and the 
International Journal of Heat and Mass Transfer. This project and its aims align 
with the research output and key areas of growth in the Mechanical and Aerospace 
Systems (MAS) research group while encouraging local collaboration between the 
Faculty of Engineering and Computer Science.

The selected PhD candidate will be expected to undertake training in the use of 
OpenFOAM, an open-source CFD suite, alongside C++ and Python languages. 
Additionally, machine learning training will be advised. These skills are both 
necessary for the project but also provide an important set of professional 
skills for their future career. 

[1] UK Department for Transport. Jet Zero strategy: our approach for achieving 
net zero aviation by 2050. [Government of the United Kingdom], (2022, July 19). 
Retrieved from
[2] European Commission, Directorate-General for Mobility and Transport, 
Directorate-General for Research and Innovation, Flightpath 2050 : Europe’s 
vision for aviation : maintaining global leadership and serving society’s needs. 
Publications Office, (2011). Available from: doi/10.2777/50266.
[3] Han, J.C., Dutta, S. and Ekkad, S., Gas turbine heat transfer and cooling 
technology, CRC press, (2012)
[4] Karniadakis, G.E., Kevrekidis, I.G., Lu, L. et al. Physics-informed machine 
learning. Nat Rev Phys 3, 422–440 (2021).

Contact Information:
Please mention the CFD Jobs Database, record #19011 when responding to this ad.
NameChristopher Ellis
Email ApplicationYes
Record Data:
Last Modified15:51:21, Friday, February 23, 2024

► Geometry/Meshing Software Developer , Cambridge Flow Solutions Ltd
   23 Feb, 2024 
Job Record #19010
TitleGeometry/Meshing Software Developer
CategoryJob in Industry
EmployerCambridge Flow Solutions Ltd
LocationUnited Kingdom, Cambridge
InternationalYes, international applications are welcome
Closure Date* None *
Are you a talented Engineering software developer? Are you willing to work at the very heart of a company developing engineering tools including for meshing and geometry manipulation, as we continue to identify and exploit emerging commercial opportunities for our BOXER Software System and BOXERgeom our Digital voxel-based geometry kernel?

We are looking for someone with good understanding of Geometry or Meshing concepts. A person with proven software development experience and working knowledge in one or more of the below topics would be ideal.
•	Generative design, Topology Optimization
•	Voxelized Digital Geometry
•	Level-Set Methods
•	Mesh Adaptation/Refinement/Smoothing
•	3D Graphics and High-end Gaming
•	Geometry tessellation and 3D Printing
We welcome expertise in various programming languages including C, C++, C# and Python.

Job Responsibilities
•	As a Software Developer, you will help the team in accelerating BOXER product development 
•	You will be required to carry out various development tasks ranging from new development, customer-led improvements, and bug fixes
•	You will be required to work across the domains of meshing, geometry modelling, computational geometry as per the company strategic roadmap

Minimum Education /Experience:
•	Bachelor’s degree or higher in engineering, computer science, mathematics, or related field
•	Professional experience in software development - we are looking for someone with at least 3 years of working in this field but would welcome applicants with significantly more experience 
•	Primarily, Linux development but familiarity with Windows

Desirable Qualifications / Skills
•	Experience in developing large scale graphics/GUI applications 
•	Knowledge of Parallel Programming using MPI or OpenMP
•	Familiar with Testing methods and systems
•	Good communication and documentation skills

Personal Qualities/Skills
•	Team work and collaboration, but also ability and aptitude for independent working
•	Problem solving and attention to detail
•	Adaptable and able to use initiative

About Cambridge Flow Solutions (CFS):
We at CFS are committed to building engineering software tools and products that are effective, easy to adopt and make a significant impact on industry. Our products like BOXERmesh, BOXERgeom & BOXERsolve have an international reputation for scalability, robustness, configurability, and modular design. Over the last decade, CFS has built a strong relationship with its customers. We offer solutions across a range of industries based on our core research vehicles:
•	BOXERmesh, a robust scalable fully parallel mesh generator
•	BOXERgeom, a voxel-based Digital Geometry™ modelling kernel which supports MRO, AI/ML
•	BOXERsolve, a highly customisable ale RANS/LES/thermal solver

What do we offer:
•	Competitive pay depending on experience 
•	Opportunity to work in a specialist but significant domain – our zero carbon future will be designed and delivered using simulation
•	Professional work environment
•	Work with a dynamic and inclusive team

Job Location: Office based, Cambridge, UK
Job Type: Permanent

With offices on the world-renowned Cambridge Science Park, UK we are continually looking for exceptional talent, particularly in the areas of Computing, CFD/CAE applications engineering, consulting, sales and support. We offer stimulating work in a young and dynamic company with exciting prospects.  For the right person, development into leadership roles is encouraged.

Salary: CFS offers a competitive salary 

Please email with a stated salary expectation and the job reference, GMSD when applying. Only applications with this salary information will be considered. Please forward all applications (enclosing a CV and cover letter) to

Closing date: We review applications on a rolling-basis

There will be a two stage interview process with an initial telephone interview and then successful candidates will be asked to attend an interview online or in person.

Cambridge Flow Solutions is an equal opportunities employer and we welcome applications from all suitably qualified persons.

Contact Information:
Please mention the CFD Jobs Database, record #19010 when responding to this ad.
NameRecruitment Manager
Email ApplicationYes
Record Data:
Last Modified11:31:43, Friday, February 23, 2024

► PhD position in CFD of multiphase flows, Worcester Polytechnic Institute
   22 Feb, 2024 
Job Record #19008
TitlePhD position in CFD of multiphase flows
CategoryJob in Academia
EmployerWorcester Polytechnic Institute
LocationUnited States, MA, Worcester
InternationalYes, international applications are welcome
Closure Date* None *
The Computational Multiphase Transport 
Laboratory( at Worcester Polytechnic 
Institute is looking to hire a Ph.D. student to work on some interesting problems 
involving CFD of two-phase gas-liquid flows with phase change. The potential 
candidate will have a bachelor's (and preferably master's) in Mechanical, 
Aerospace or Chemical Engineering with a strong background in Fluid Mechanics, 
Thermodynamics, Heat transfer, and Numerical Methods for PDEs. Prior experience in 
CFD with an ability to write codes and experience in OpenFOAM is considered 

If interested, please send an email with a detailed CV (emphasizing CFD 
experience) to Remember to include the job posting number 
in the subject line. If I find your application suitable for my group, I will get 
in touch with you. 

Contact Information:
Please mention the CFD Jobs Database, record #19008 when responding to this ad.
NameAswin Gnanaskandan
Email ApplicationYes
Record Data:
Last Modified22:11:36, Thursday, February 22, 2024

► Ph.D. scholarship in energy storage and conversion, University of Massachusetts, Lowell
   22 Feb, 2024 
Job Record #19007
TitlePh.D. scholarship in energy storage and conversion
CategoryJob in Academia
EmployerUniversity of Massachusetts, Lowell
LocationUnited States, MA, Lowell
InternationalYes, international applications are welcome
Closure DateSaturday, June 01, 2024
The multiscale, multiphysics modeling of electrochemical systems lab in 
Mechanical Engineering, University of Massachusetts, Lowell is searching for 1 
enthusiastic Ph.D. candidates in the area of energy storage and conversion. The 
successful candidate will use mulitscale and multiphysics model and experiment 
coupling method to explore fundamental transport, kinetic mechanisms, 
electrochemical-mechanical coupling of solid oxide electrolysis cells with 
synthetic or reconstructed microstructures. The specific application includes 
solid oxide electrolysis cells/fuel cells, mixed ionic and electronic conducting 
membrane reactors.
•	Required: Hold a MS in Engineering.
•	Required: A prior background with any electrochemical systems, such as 
fuel cells, batteries.
•	Required: Proficient with Comsol/ANSYS, Matlab, Auto CAD/Solidworks.
•	Desired: Experience with Dream3D, ISOMESH, imaging processing, cluster 
Candidates should have a M.S. in engineering related field. This is a four-year 
position supported with full tuition coverage and a yearly stipend. Interested 
candidates should email a cover letter and CV to

Contact Information:
Please mention the CFD Jobs Database, record #19007 when responding to this ad.
NameXinfang Jin
Email ApplicationYes
Address1 University Ave
Francis College of Engineering
Record Data:
Last Modified17:16:07, Thursday, February 22, 2024

► 2 Doctoral Candidates at TU Braunschweig, Germany, TU Braunschweig, Institute of Fluid Mechanics
   22 Feb, 2024 
Job Record #19006
Title2 Doctoral Candidates at TU Braunschweig, Germany
CategoryJob in Academia
EmployerTU Braunschweig, Institute of Fluid Mechanics
LocationGermany, Lower-Saxony, Braunschweig
InternationalYes, international applications are welcome
Closure DateSunday, March 31, 2024
We seek 2 Doctoral Candidates (m/f/d) on the topics
“Aerodynamics of a Multi-Functional Leading Edge for Energy-Efficient Aircraft” and
“Structure of a Multi-Functional Leading Edge for Energy-Efficient Aircraft”

The positions are to be filled on a fixed-term basis for a period of 3 years. The successful applicant will be given the opportunity to pursue a doctorate.

Background and Research Objectives
In this project, we strive to contribute to the goal of sustainable and climate-friendly aviation by targeting a reduction in primary energy consumption through reduced wing weight and drag. To achieve this, multiple functions will have to be combined on future wings: i) laminar flow control to reduce viscous drag on both the upper and lower wing surface, ii) active suppression of gust- and maneuver-induced loads to reduce the structural requirements and fatigue loads, allowing the structural weight to be reduced, iii) high aspect ratio wings to reduce induced drag, and iv) high lift capabilities for take-off and landing. The combined application of these different functions poses demanding requirements on the leading edge of the wing, as shown in the figure above. Current leading edge concepts do not allow for the integration of all of these different functions and thus prevent their joint application. A multifunctional leading edge system as an enabler for these different technologies is therefore essential for achieving current climate targets. The research project MUVE, funded by the Federal Aeronautical Research Programme (LuFo) of the Federal Ministry for Economic Affairs and Climate Action (BMWK) in Germany, pursues the design of this multifunctional, innovative leading edge system and the evaluation of its climate-relevant effects.
Two PhD researchers at the TU Braunschweig will investigate the structural-mechanical and aerodynamic aspects of this novel leading edge design, in close collaboration with the TU Hamburg (system-technical design) and University of Stuttgart (aerodynamic performance evaluation). A significant proportion of the work is carried out on the basis of flow/structure-coupled high-fidelity simulations, while the feasibility of the leading edge system is to be demonstrated through the construction and testing of functional demonstrators.

About TU Braunschweig
With more than 16,000 students and 3,800 employees, Technische Universität Braunschweig is one of Germany´s leading institutes of technology. It stands for strategic and performance-oriented thinking and acting, relevant research, committed teaching, and the successful transfer of knowledge and technologies to the economy and society. We consistently advocate for family friendliness and equal opportunities.
Our research focuses are mobility, engineering for health, metrology, and city of the future. Strong engineering and natural sciences are our core disciplines. These are closely interconnected with economics, social and educational sciences and humanities. Our campus is located in the midst of one of the most research-intensive regions in Europe. We work successfully together with over 20 research institutions in our neighborhood as we do with our international partner universities.

About the Host Institutions
We, the Institute of Fluid Mechanics and Institute of Aircraft Design and Lightweight Structures, are part of the Aeronautics Research Centre Niedersachsen (NFL). The NFL is a leading research centre for aviation in Germany with excellent research and education. As part of the NFL, we have an internationally unique infrastructure with research aircraft, wind tunnels, simulators and test rigs with which our scientists and dedicated students conduct cutting-edge research. A major focus of current research at the NFL and TU Braunschweig is the mobility needs of society in the future and, in particular, the factors of environmental compatibility, safety and economic efficiency of air transport. In several national and international research projects, our two institutes have investigated aspects of laminar flow control, active and passive load reduction, and high-lift on current and future transport aircraft.

Your Tasks
  • You will carry out research in the area of aircraft aerodynamics and structural mechanics.
  • You will collaborate with other national research institutions and industrial partners.
  • You will publish research findings and participate in national and international conferences.
  • You will be involved in teaching at the University (contribution to courses as well as supervision of students’ work).
Your Qualifications
  • You have a degree (Master’s or equivalent) in Aerospace Engineering, Mechanical Engineering, Applied Physics or a related field.
  • You do not have a doctoral degree yet, but aim for one.
  • You have very good knowledge of the English language, and ideally also of the German language.
  • You have practical experience in numerical flow or structural simulations. Knowledge in aircraft aerodynamics and structural mechanics is desirable.
We offer
  • Work on exciting future-oriented research topics in an inspiring work environment as part of a friendly and motivated team as well as the university community.
  • A vibrant campus life in an international atmosphere with intercultural offers and international cooperations
  • You receive a 3-year full-time employment contract with pay in accordance with the collective agreement TV L (a special payment at the end of the year as well as a supplementary benefit in the form of a company pension, comparable to a company pension in the private sector) including 30 days' vacation per year.
  • Flexible working and part-time options and a family-friendly university culture, awarded the "Family-friendly university" audit since 2007.
  • Special continuing education programs for young scientists, a postdoc program, as well as other offerings from the Central Personnel Development Department and sports activities.
What’s more to know
We welcome applicants of all nationalities. At the same time, we encourage people with severe disabilities to apply. Applications from severely disabled persons will be given preference if they are equally qualified. Please attach a proof of disability to your application. We are also working on the fulfilment of the Central Equality Plan based on the Lower Saxony Equal Rights Act (Niedersächsisches Gleichberechtigungsgesetz—NGG) and strive to reduce under-representation in all areas and positions as defined by the NGG. Therefore, applications from women are particularly welcome in this case.
The personal data will be stored for the purpose of processing the application. By submitting your application, you agree that your data may be stored and processed electronically for application purposes in compliance with the provisions of data protection law. Further information on data protection can be found in our data protection regulations at Application costs cannot be reimbursed.

Selection Process Applications can be in German or English and should contain the following documents:
  • a CV (including list of publications, if any),
  • a motivation letter,
  • copies of degree and academic transcripts (with grades and rankings), for both the Bachelor’s and Master’s degrees. Academic
  • records not written in English should be accompanied by a translation into English (it can be either an official translation or self-translation). If the candidate has not been awarded the qualifying degree yet, he/she should provide a document proving the expected date of award.
  • Master’s thesis report or a summary of it,
  • names and email addresses of two referees.
Optional documents:
  • English Proficiency Certificate,
  • publications: maximum 3 journal papers or conference proceedings,
  • reference letters.
Questions and Answers For more information, please contact Dr.-Ing. André Bauknecht at Deadline for applications is 31.03.2024
Are you interested? Please send your application preferably via email to or via mail to

Technische Universität Braunschweig
Institut für Strömungsmechanik
André Bauknecht
Hermann-Blenk-Str. 37
38108 Braunschweig
Contact Information:
Please mention the CFD Jobs Database, record #19006 when responding to this ad.
NameDr.-Ing. André Bauknecht
Email ApplicationYes
AddressTechnische Universität Braunschweig
Institut für Strömungsmechanik
André Bauknecht
Hermann-Blenk-Str. 37
38108 Braunschweig
Record Data:
Last Modified09:00:55, Thursday, February 22, 2024

► Funded Ph.D./M.Sc. in Numerical Modeling for Hypersonic Flow, University of Calgary
   22 Feb, 2024 
Job Record #19005
TitleFunded Ph.D./M.Sc. in Numerical Modeling for Hypersonic Flow
CategoryPhD Studentship
EmployerUniversity of Calgary
LocationCanada, AB, Calgary
InternationalYes, international applications are welcome
Closure DateWednesday, May 01, 2024
The Computational Fluid & Structural Mechanics group (CFSMgroup) at the University 
of Calgary has an open fully-fundedPh.D. and M.Sc. position in Numerical Modeling 
for Hypersonic Flows in Thermochemical Nonequilibrium. The role of the Ph.D. 
student will be to develop the numerical framework to model hypersonic flows in 
thermochemical nonequilibrium, including the ionization. 

The student will work with the in-house code for two-temperature equation model. 
Student will be working with the experimental data obtained at NASA Langley and 
CSA as well as to perform detailed validation using set of benchmark problems. 
During the degree the student might also work closely with the researchers from 
NASA, DLR and academic institutions worldwide (this will also include up to 6 
months research internship abroad through MITACS Globalink).

The potential candidates should have a strong background in numerical methods, 
compressible flows, programming (Fortran, C, C++, etc), finite elements/finite 
volumes, computational fluid dynamics (CFD). The candidate should be familiar with 
mesh generation tools (Gmsh, ANSA, or other) and data vizualization tools (e.g. 
VisIt, Paraview, etc). Experience with parallel computing (MPI, CUDA) is an asset.

CFSMgroup is a part of the University of Calgary Aerospace Network (UCAN) which 
involved collaboration with national and international academic institutions, 
industrial partners and governmental agencies, including NASA, Canadian Space 
Agency (CSA), Defence Research and Development Canada (DRDC), US Air Force Office 
of Scientific Research (AFOSR), Lockheed Martin, Peraton, and more. Research 
projects are also sponsored by various Canadian small- and medium-sized 
enterprises (SMEs) and startups in aerospace, which is a potential employment 
opportunity after the degree.

The start date is negotiable but ideally Summer/Fall 2024. To apply, please send 
your up-to-date CV, unofficial transcripts, and a two-page cover letter to Dr. 
Artem Korobenko ( In your cover letter, please 
include projects you worked on and a one-page proposal for the potential research 
topic (in the area of hypersonic flows) that you would like to work on during your 
program at the University of Calgary.

Due to the nature of the project, the position is only available to students from 
EU, USA, Australia, Canada, Japan and UK.

Computational Fluid and Structural Mechanics group:
Contact Information:
Please mention the CFD Jobs Database, record #19005 when responding to this ad.
NameArtem Korobenko
Email ApplicationYes
Address40 Research Pl., NW
Record Data:
Last Modified01:35:24, Thursday, February 22, 2024

► Funded Ph.D. and M.Sc. in Numerical Modeling of Wind Farms, University of Calgary
   22 Feb, 2024 
Job Record #19004
TitleFunded Ph.D. and M.Sc. in Numerical Modeling of Wind Farms
CategoryPhD Studentship
EmployerUniversity of Calgary
LocationCanada, AB, Calgary
InternationalYes, international applications are welcome
Closure DateWednesday, May 01, 2024
The Computational Fluid & Structural Mechanics group (CFSMgroup) at the University of Calgary has an open fully-funded 
Ph.D. and M.Sc. position in Numerical Modeling of Wind Farms. This project is a 
part of ongoing activities within newly-created IEA Wind Task 57 "Joint Assessment 
of Models" led by NREL. Dr. Korobenko is the Canadian lead on this project. This 
project might also include research internship at NREL and DLR.

The project focuses on developing advanced numerical tools for wind farm modeling 
in complex environmental terrains and atmospheric flows. During this process, 
fundamental questions related to wake-structure interaction, wake mitigation 
strategies and wake control, effect of the atmospheric stability, will be 
explored. During the project the application of ROM and physics-informed NN will 
be also explored. Student will be working with the in-house code for multi-
fidelity simulations of wind turbines.

The main responsibilities will be to:

- couple different modules of the code to perform simulation of the wind turbines 
in complex terrain interacting with stratified flows 
- verification and validation of the coupled code
- couple existing in-house code with weather models (e.g. WRF)
- perform simulation on HPC clusters
- pre- and post-processing of the results
- work with field test data for validation (e.g. from AWAKEN)

The potential candidates should have:

- a strong background in numerical methods and fluid mechanics
- familiarity with Linux
- experience in developing numerical models, codes, and computation algorithms
- experience with CFD using FEM and/or FVM
- strong hands-on experience with computing in one of the programming languages 
(e.g. Fortran, C/C++, Python, or other languages)
- familiarity with at least one mesh generation tool (Gmsh, ANSA, Pointwise, or 
- strong interest and self-motivation to perform cutting-edge research and conquer 
challenges in real-world engineering and to publish high-impact papers. 

Experience with parallel computing (MPI, CUDA) is beneficial.

Position is available no later than September 2024 ((the actual start date can be 
negotiated)). Please send to Dr. Artem Korobenko (

- up-to-date CV
- unofficial transcripts
- unofficial English language test results (if applicable)
- two-page cover letter.  

In your cover letter, please include projects you worked on and a short proposal 
(few paragraphs) for the potential research topic (around wind turbine modeling) 
that you would like to work on during your program at the University of Calgary.

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

Due to the nature of the project and collaboration the position is open for 
applicants from Canada, EU-countries, USA, Australia, Japan and UK.
Contact Information:
Please mention the CFD Jobs Database, record #19004 when responding to this ad.
NameArtem Korobenko
Email ApplicationYes
Address40 Research Pl., NW
Record Data:
Last Modified01:28:55, Thursday, February 22, 2024

   21 Feb, 2024 
Job Record #19003
CategoryPostDoc Position
EmployerUniversidad Técnica Federico de Santa María
LocationChile, San Joaquín, Santiago
InternationalYes, international applications are welcome
Closure Date* None *


In the last year, there has been a significant increase in the satellite to Low 
Earth Orbit (LEO) launches. Nowadays, this orbit, ranging from 160 up to 2000 
km, represents the most satellite populated region around the Earth. Considering 
that the number of satellites in space orbit is becoming increasingly saturated, 
Very Low Earth Orbit (lower than 400 km) has become a new choice to expand the 
satellite operation range and improve the mission capability. A few vehicles can 
operate for long periods of time at altitudes ranging from high reconnaissance 
aircraft at 26 km (e.g. the SR71 Blackbird) to the lowest space platforms at 
around 400 km altitude. Low orbits have been avoided due to significant 
atmospheric drag which induce spacecraft’s orbit decay in less than 5 years. In 
order to maintain a satellite at VLEO, it is required the use of a continuous 
low thrust drag compensation mechanism. Atmosphere-breathing electric propulsion 
(ABEP) is a type of electric propulsion system that uses the atmosphere as a 
propellant source instead of a stored reservoir. This technology is still in its 
early stages, but holds the promise of providing a clean, efficient, and 
sustainable propulsion system for spacecraft, enabling very low Earth orbit 
(VLEO) mission scenarios. To optimize the ABEP technology, accurately simulating 
air-based plasma chemistry plays a crucial role. In this scenario, the main 
objective of this project is to implement, verify, validate plasma reactions 
into the dsmcFoamPlus code for atmosphere-breathing electric propulsion systems 

Institution: Universidad Técnica Federico Santa María
Location: Santiago, Chile
Number of positions: 2
Salary: US$ 27,000.00 per year
Additional: US$ 5,000.00 per year (equipments, conferences, and publications)
The position is available for a period of three years

- PhD in fluid dynamics, physics, or applied mathematics with a strong 
computational background.
- The candidate must have an excellent academic record at all levels of 
- Experience in the development of OpenFOAM codes and running them on HPC 
- Understanding of plasma reactions.
- Strong publication record at Q1 ans Q2 Journals (Mandatory!).
- The candidate must have excellent written and verbal communication skills, 
demonstrated through
publications in reputed journals. English (minimum B2-Level) and interest in 
learning Spanish for daily life

Applications should include a cover letter, a brief statement of research 
interests and achievements (max.
2 pages), curriculum vitae including the publication list, and the names and 
contact details of two
potential referees. The reference persons will only be contacted for the 
shortlisted candidates.

All applications should be sent to Professor Rodrigo Cassineli Palharini,
Contact Information:
Please mention the CFD Jobs Database, record #19003 when responding to this ad.
NameRodrigo Cassineli Palharini
Email ApplicationYes
AddressAv. Vicuña Mackenna 3939, Santiago
Record Data:
Last Modified18:19:40, Wednesday, February 21, 2024

► Ph.D. and M.Eng. in Computational Fluid Dynamics, Chiang Mai University
   21 Feb, 2024 
Job Record #18990
TitlePh.D. and M.Eng. in Computational Fluid Dynamics
CategoryPhD Studentship
EmployerChiang Mai University
LocationThailand, Chiang Mai
InternationalYes, international applications are welcome
Closure DateMonday, April 22, 2024
The Laboratory for Computational Turbulence at Mechanical Engineering 
is accepting applications for Doctoral and Master's students 
in Computational Fluid Dynamics for the academic year 2024. 

The research topics are
- Advanced Numerical Method for single and multi-phase flow.
- Precision Agriculture with simulation technology
- Data-driven turbulence modeling 
- Acoustic simulation 
- Particle in Turbulence
- Heat and mass transfer in HVAC systems

The applicant should have the following skills and characteristics
- Minimum GPA 3.0 out of 4.0 scale. 
- A strong background in Mathematics, 
  Fundamental Physics (fluid mechanics, heat transfer, etc.) and programming.
- Be determined 
- Having a can-do attitude 
- Willing to pursue extracurricular research activity (Research assistantship)

The doctoral student will study under 
the Doctor of Philosophy Program in Mechanical Engineering. 
Two tracks are available in this degree: 
1. Dissertation only and 
2. Dissertation with coursework. 
An excellent Bachelor's graduate can go directly to a Ph.D. program. 

The master's student will study under 
the Master of Engineering Program in Advanced Computational Engineering 
and Design, which was developed jointly with Cranfield University, 
Universitat Politècnica de Catalunya, and the University of Patras.  

The interested applicant should submit the application to 
Asst.Prof. Dr.-Ing. Arpiruk Hokpunna ( 
by 31st March 2024. 
The selected applicant will be nominated to CMU under the Active Recruitment 
or the presidential scholarship.

For more information on the scholarship, please visit
1. The presidential scholarship 
2. TA/RA scholarship (

Contact Information:
Please mention the CFD Jobs Database, record #18990 when responding to this ad.
NameArpiruk Hokpunna
Email ApplicationYes
Record Data:
Last Modified17:24:58, Wednesday, February 21, 2024

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