Questa posizione è in Leonardo

Il processo di selezione sarà interamente gestito Leonardo.

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# Job Description: Leonardo is an international industrial group, one of the leading global players in Aerospace, Defense, and Security, creating multi-domain technological capabilities in Helicopters, Aircraft, Aerostructures, Electronics, Cybersecurity, and Space. With over 60,000 employees worldwide, the company has a strong industrial presence in Italy, the United Kingdom, Poland, the United States, and operates in 150 countries also through subsidiaries, joint ventures, and shareholdings. A protagonist in major strategic programs globally, it is a technological and industrial partner for Governments, Defense Administrations, Institutions, and businesses. If you are enrolled in a university, attending your final year of a Master's degree, and need to write a thesis in STEM disciplines, Leonardo offers you the opportunity to strengthen your academic path through an experience in the company. Expert tutors in their field will guide you, allowing you to deepen the theoretical part and develop your thesis, preparing you best for future professional challenges. The proposed thesis topics to be carried out at Leonardo cover a wide range of technological, research, and innovation areas: from Artificial Intelligence to High-Performance Computing, from Cyber Security to Materials Engineering, passing through aerospace sectors. You will be able to explore the most avant-garde areas of your field of study, with creativity and a spirit of innovation. We are looking for a young student for the **Turin Corso Francia** site n. **1** to be included in an internship with the aim of developing their degree thesis on the topic of **Model-Based Systems Engineering** on the subject:



* **Functional analysis of aerospace systems for an all-digital design process** The objective of this thesis will be to define an approach for performing functional analysis of aerospace systems within a Model-Based Systems Engineering (MBSE) development methodology. This analysis must take into account the interconnection with other activities addressed during the preliminary phases (requirements and logical architecture) and be highly interoperable with a fully digital design process. In this context, the candidate will perform a preliminary functional analysis of one or more aerospace systems and define how to interconnect them with other disciplines and with the models created during development. The work will be carried out in collaboration with Leonardo's Digital Engineering department. **Education:** Bachelor's degree in STEM disciplines, with an interest in the world of engineering. **Seniority:** Junior **Behavioral skills:** * Proactivity; * Ability to work in a team; * Learning orientation; * Flexibility. **Technical knowledge:** * Basic knowledge of Systems Engineering * Knowledge of operating principles of aeronautical systems **Language skills:** * Knowledge of the English language, level B1-B2. **Computer skills:** * Office suite; * Main programming languages: Matlab, Python **Other:** * Modeling and simulation tools: Cameo Systems Modeler/IBM Rhapsody and Simulink * Knowledge of UML/SysML language is a plus Availability to undertake short trips within Italy. How does the selection process work? Following the collection of applications, CVs that are most in line with the required qualifications are evaluated and identified. Selected candidates undergo an introductory interview with the Human Resources team and with the Business, where technical topics, motivation, and personal aptitudes will be explored. At the end of the process, the candidate receives feedback, both in case of a positive and negative outcome. --- ## We look forward to your application. *Collaborating with us, you will constantly confront the challenges of high technology, increase your skills, and build a professional path of excellence.* **Seniority:** Junior **Primary Location:** IT - Torino - C.so Francia **Contract Type:** **Hybrid Working:** Ibrido

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📌 Stage- Tesi- MBSE: Functional Analysis (Torino)
🏢 Leonardo
📍 Torino