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Empleo > Prácticas > Informática/Tecnología > Italia > Detalles de la Oferta 

STAGE-ELI-Advanced detection of Laminar-to-Turbulent transition and separation on wind tunnel helicopter Model through infrared thermography combined with particle image velocimetry

Leonardo
Italia  Italia
Prácticas, Informática/Tecnología, Inglés
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Descripción del puesto:

Job Description:
Leonardo is an international industrial group and one of the world's leading companies in the Aerospace, Defence, and Security sectors, delivering multi-domain technological capabilities in the fields of Helicopters, Aircraft, Aerostructures, Electronics, Cyber Security, and Space. With more than 60,000 employees worldwide, the company has a strong industrial presence in Italy, the United Kingdom, Poland, and the United States, and operates in 150 countries through subsidiaries, joint ventures, and equity investments. A key player in major strategic programs at the global level, Leonardo is a technology and industrial partner to governments, defence administrations, institutions, and businesses.

For our Helicopters Division, within the Engineering Department, we are looking for an intern to join our team through an internship program. Below is a description of the activities and responsibilities you will be trained on during your internship.

Activity Description
The laminar-to-turbulent transition of the boundary layer is widely recognized as a key factor in the optimization of aerodynamic performance in aerospace vehicles. Accurate prediction and identification of the transition location are essential for correcting scale effects in wind tunnel testing and for the continuous improvement of Computational Fluid Dynamics (CFD) methodologies, ultimately enhancing the correlation between numerical simulations and experimental measurements. Despite significant progress, boundary layer transition remains an active area of research, driving the development of a variety of experimental techniques based on different physical principles. These include mechanical methods, such as oil-flow visualization, electrical methods, such as hot-film sensors, and, most notably, optical measurement techniques, including Particle Image Velocimetry (PIV) and Infrared Thermography (IRT).Optical techniques are particularly attractive in wind tunnel environments because they provide non-contact and non-intrusive measurement capabilities. As a result, they enable the investigation of flow phenomena without altering either the airflow field or the model surface, ensuring a more accurate characterization of the physical processes under study.
The activity is focused on the development, validation, and application of an innovative experimental methodology for boundary layer transition detection, based on the combined use of Infrared Thermography (IRT) and Particle Image Velocimetry (PIV).

Main Tasks:
Develop and validate a novel experimental methodology for boundary layer transition detection through the integrated use of IRT and PIV techniques.
Create a dedicated real-time post-processing tool capable of converting surface temperature maps acquired through infrared thermography into quantitative wall convective heat transfer measurements.
Perform simultaneous two-dimensional and three-dimensional flow field measurements using PIV to provide a quantitative characterization of the flow structures associated with transition.
Establish a robust correlation framework between surface thermal measurements and velocity field data, enabling mutual validation of both diagnostic techniques.
Support the experimental activities through CFD simulations, with the objective of tuning and improving transition prediction models and strengthening the correlation between numerical and experimental results. +

Requirements:
· Master Degree in Aerospace Engineering
· English (B2 or Higher)
· Collaborative and proactive attitude
· Knowledge of Infrared Thermography measurement technique principles
· Knowledge of Particle Image Velocimetry measurement technique principles
· Knowledge of Computer Aided Design (CAD) software, CATIA is considered a plus
· Knowledge of MATLAB

WHAT WE OFFER
Engagement, recognition of skills, and a strong focus on people's well-being and safety are the cornerstones of our corporate culture.
Every day, we are committed to fostering an inclusive and stimulating work environment by actively promoting the principles of inclusion, equity, and diversity enhancement.

* Working arrangement: Hybrid
* Contract type: STAGE
- Monthly expense reimbursement of approximately EUR800
* Ongoing training and professional development opportunities, including both technical and soft skills
* Well-being: We place the economic, physical, social, and psychological well-being of our people first, offering a variety of solutions tailored to their needs.
The company reserves the right to assess the appropriate employment level and compensation package based on objective criteria emerging during the selection process and in line with the seniority of the selected candidate and the position itself, in accordance with the principles of fairness, transparency, and equal opportunities established by applicable legislation.

THE SELECTION PROCESS
We look forward to receiving your application: please submit your CV within three weeks of the job posting date.
How does the selection process work?
Following the application collection phase, the CVs that best match the required qualifications will be evaluated and shortlisted.
Selected candidates will take part in an introductory interview with the Human Resources team, focusing on motivation and aptitude, followed by an in-depth technical interview with the relevant Business function.
At the end of the process, all candidates will receive feedback, regardless of whether the outcome is positive or negative.

Seniority:

Primary Location: IT - Varese - Cascina Costa

Additional Locations:

Contract Type:

Hybrid Working

Origen: Web de la compañía
Publicado: 21 Jul 2026
Tipo de oferta: Prácticas
Sector: Aeroespacial / Defensa
Duración: un mes
Compensación: 800 EUR
Idiomas: Inglés
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