Please find here below the list of internship subjects that is offered by NUMECA International in 2019-2020. The internships typically extend from 4 to 6 months and cover quite a significant number of applications and models, including literature review, and/or project management. 

Candidates are encouraged to apply by sending their resume together with a motivation letter, key project reports and names/email of one person of reference to    



The assessment and mitigation of noise is a crucial task in the development of new products. 

The approach followed is to evaluate the flow phenomena with a CFD simulation, then understand the generation and propagation of the noise with CAA.
Two distinct layers are thus necessary: a flow field simulated with RANS or URANS and an acoustic field.
The objective of this internship is to work on the creation of a CFD model that can be exploited for accurate acoustic simulations. The candidate will simulate the flow in a turbomachinery component and choose and validate the workflow in order to find the numerical settings that provide good accuracy in the noise prediction. 

Prerequisites: Knowledge in fluid mechanics, numerical methods, CFD and turbomachinery applications
Programming language: Python  (beginner level)

Timing: 4-6 months  (Internship or MSc project)

Reference: 19-12



The objective of the internship is to bring innovative ideas in order to:

  • (re-)Design external marketing material (logos, banners, flyers, leaflets, advertising banners

  • Create identity & branding via logos for our corporate material and website

  • Create innovative and intuitive designs for buttons in our Graphical User Interface

This internship requires notions of Graphical Design, a creative mindset and excellent communication skills.

Reference: 17-MKG

Timing: min. 2 months          



The emissions of NOx contribute to the formation of acid rain and the production of smog. In the design and optimization of low-NOx combustion devices (engines, gas turbines, furnaces,...) it is important to account for the current restrictive regulations on the emission of pollutants. Since the NOx formation is a slow process, computational methods assuming fast chemistry (like the equilibrium approach) cannot be used for accurate predictions. As the NOx concentrations are very low compared to the other combustion products and the formation of the NOx does consequently not affect the flow field, the NOx formation can be determined by post-processing the results of a reactive simulation. FINE/Open contains a module for the post-processing of the NOx formation. As this module only considers the thermal formation of NOx (Zeldovich mechanism), in the current project this module will be extended to also incorporate the prompt formation of NO (Fenimore), the formation of NO due to the oxidation of nitrogen-containing compounds in the fuel, and the reduction of NO due to reactions with hydrocarbons. Validation will be conducted by simulating both elementary test flames and industrial applications. The work will be carried out in collaboration with TU/Eindhoven (TU/e), NL.

Supervisor: Jan E. Anker, Luigi Romagnosi, Jeroen van Oijen (TU/e)

Timing: 4-6 months (Internship or MSc project)

Prerequisites: Knowledge in fluid mechanics, numerical methods, and CFD

Programming languages: C++

Reference: 19-03



For combustion modelling NUMECA offers a variety of tabulated chemistry models (equilibrium, flamelet, FGM, …) since they are reliable and computationally efficient. The combustion tables are generated using TabGen/Chemistry, which is NUMECA's table generation tool and is based on TU Eindhoven's 1D chemistry solver Chem1d. Unless equilibrium tables are generated, chemical mechanisms are needed to generate the combustion tables. In the combustion module of FINE/Open with OpenLabs there are some preprocessed chemical mechanisms offered for use by NUMECA's clients. To extend the database of chemical reaction mechanisms, new detailed reaction mechanisms for common fuels will be preprocessed and validated for industrial use. The testing process will consist of generating a combustion table based on the new mechanism, run elementary and industrial test cases with the combustion table, and compare the results with available reference data. If a chemical mechanism yields good results, the mechanisms and its range of validity will be documented, and eventually added to the database of TabGen/Chemistry. The work will be carried out in collaboration with TU/Eindhoven (TU/e), NL.     

Supervisor: Jan E. Anker, Jeroen van Oijen (TU/e)

Timing: 4-6 months  (Internship or MSc project)

Prerequisites: Knowledge in fluid mechanics, numerical methods, and CFD

Programming languages: C++

Reference: 19-04



For combustion modelling NUMECA offers a variety of tabulated chemistry models (equilibrium, flamelet, FGM, …) as they are reliable and computationally efficient. Standard implementations of these combustion models assumes low Mach number flow. To be able to use a tabulated chemistry model for high-speed flows, NUMECA has recently extended the Flamelet Generated Manifolds (FGM) method so that this model can be used for the simulation of reacting flows at arbitrary Mach numbers. For increasing the confidence and ensuring the quality of the implementation, additional elementary and industrial test case will be carried out. As supplementary industrial test cases, one rocket-chamber and one coupled combustor-NGV simulation should be carried out. In addition, to compare the computational results of the test cases with measurement data, scripts in Python and documentation should be written, so that the test cases can be included in our system for automated verification and validation tests.  

Supervisor: Jan E. Anker, Luigi Romagnosi

Timing: 4-6 months (Internship or MSc project)

Prerequisites: Knowledge in fluid mechanics, numerical methods, and CFD

Programming languages: C++

Reference: 19-05



The candidate has the opportunity to contribute to the next generation of multidisciplinary design optimization software, which is used by engineers to improve their products and come up with new innovative product designs. You will contribute to automated software regression testing all along the entire design optimization chain, such as geometry/mesh morphing, uncertainty quantification, robust and reliable design optimization, data mining or data analysis. The challenges are various and you can make an impact not only on the next generation software we develop, but also help engineers around the world to come up with better product solutions.

Automated software regression testing is a key element of the software development process and the candidate will be in charge of:

  • extending the automated non-regression database by implementing new test functions in python

  • supplementing the database with analytical and industrial scale test cases  

  • data management and data preparation

The project requires a good knowledge in python programming, a feeling for software quality, and an interest in engineering software.   

Timing: 4 months

Reference: 19-07



The Python developer Intern will assist in developing technology to build an automatic testing environment, a key element of the software development process.

The developer Intern will be able to prototype solutions in Python for streamlining and making the QA process faster, gaining valuable experience and developing technical capabilities for career growth.


  • Prototype solutions for automatic QA tests
  • Discover, learn and implement procedures for quality testing
  • Perform debugging, QA or deploy activities, as required.
  • Apply problem-solving, critical thinking and innovation.

Minimum duration of the internship: 2 months

Required Skills and Competencies:

  • 0 – 3 years of programming experience with Python
  • Additional experience in in HTML/CSS/SVN
  • Working knowledge of Microsoft Office tools such as Excel, PowerPoint and Word is required.
  • Works successfully in a team environment and independently with the ability to quickly adapt to change.
  • Excellent verbal and written skills and detail-oriented. Ability to develop technical documentation.

Reference: 19-08



NUMECA offers the great opportunity to explore the possibilities of new physical models in CFD while not losing time in programming thanks to OpenLabs™

The purpose of the internship would be:

  • To add a new or modify an existing physical model through OpenLabs™.

  • To validate the model.

Examples of physical models:

  • an improved turbulence or transition model,

  • atmospheric boundary layer modeling,

  • porous media modeling,

  • multi-temperature models for hypersonic flows,

This master-level internship requires a good knowledge in fluid dynamics, and a proficiency level in written English. Experience in programming is not needed as the model is defined in an easy meta-language in the FINE™/Open with OpenLabs™ environment.


  • good knowledge of CFD and aerodynamics,

  • a complete description of the physical model to use,

  • access to well-defined validation data.

Please note that the description of the physical model is not provided by NUMECA. The student is recommended to discuss this prior to application with a professor, researcher or Phd candidate at the university to see which physical model could be used. This internship requires an academic supervisor with strong knowledge of the physical model to support the internship in addition to the supervisor of NUMECA. The advantage of using OpenLabs™ is the possibility to explore the model and numerical scheme to use without the need for programming. This allows concentrating the work on validation. The needed validation data can be discussed to see whether suitable data is available at NUMECA and/ or at the university. 

Reference: 19-09
Timing: 4-6 months