Tesi/Real-time signal processing acceleration for altimetric applications
Pubblicato il 10-10-2026 - Leonardo in Sant'Ambrogio di Torino
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, among the main global realities in Aerospace, Defense and Security, which creates multi-domain technological capabilities in Helicopters, Aircraft, Aerostructures, Electronics, Cyber Security and Space. With over 53,000 employees worldwide, the company has a solid industrial presence in Italy, the United Kingdom, Poland, the United States, and operates in 150 countries also through subsidiaries, joint ventures and shareholdings. Protagonist of the main strategic programs at a global level, it is a technological and industrial partner of Governments, Defense Administrations, Institutions and companies.
If you are enrolled at the University, are in your last year of a Bachelor's or 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 sector will follow you,
allowing you to deepen the theoretical part and develop your thesis, preparing you in the best possible way for future professional challenges.
The themes proposed for theses to be carried out in Leonardo cover a vast spectrum of technological, research and innovation fields: from Artificial Intelligence to High-Performance Computing, from Cyber Security to Materials Engineering, passing through the aerospace sectors. You will be able to explore the most avant-garde areas of your field of study, with creativity and spirit of innovation.
To support you during this experience, which will last a maximum of six months, a reimbursement of expenses is also provided.
We are looking for n. 1 young student for the Turin Caselle site to be included in an internship with the aim of developing their degree thesis on the following topics:
* Orchestration of Agents via Model Context Protocol (MCP) for the management and maintenance of