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. 

Within the Engineering area, we are seeking a Stage Technology Lab & Inspection in Cascina Costa (VA). 

Job Description Summary:

Within the Engineering Directorate, the Technology Lab & Inspection function is responsible for the development and qualification of materials and processes, as well as for the industrial support across the product lifecycle.

The proposed internship is specifically addressed to Master’s Degree in Aerospace/Mechanical/Materials Engineering students and it is intended to be carried out as part of a final thesis project (Master’s thesis).

As a Master’s thesis intern within the Technology Lab & Inspection – Metallic Materials Science & Testing team, the candidate will support the development of numerical simulation methodologies for Metal Additive Manufacturing processes, contributing to both research and industrialization efforts.

The activity is part of ongoing initiatives aimed at strengthening the company’s capabilities in Additive Manufacturing (AM) for aerospace applications.

Role Overview:

The selected candidate will contribute to a research project focused on the simulation of Laser Powder Bed Fusion (LPBF) processes, with the objective of enhancing predictive capabilities related to process-induced thermal and mechanical phenomena.

The candidate will operate in a multidisciplinary environment, contributing to the advancement of digital engineering approaches applied to AM technologies.

Objectives:

The primary objective of the internship is to develop and validate numerical models of LPBF processes, enabling the prediction of key physical phenomena such as temperature evolution, residual stresses, and part distortions.

Expected deliverables include:

• Development of simulation models (thermal and/or thermo-mechanical).
• Validation against available experimental or reference data.
• Sensitivity analyses of relevant process parameters.
• Preparation of a structured Master’s thesis report documenting activities, methodologies, and results.
• Formulation of recommendations to support industrial application and future developments.

Key Activities:

The candidate will be involved in the following activities:

• Review of the state-of-the-art in AM process simulation.
• Definition and implementation of finite element or numerical models for LPBF processes.
• Application of appropriate material models and boundary conditions.
• Execution of simulation campaigns.
• Analysis and interpretation of outputs (e.g. thermal fields, stress distribution, distortion).
• Correlation with experimental evidence, where available.
• Contribution to internal best practices and methodological guidelines.

Candidate Profile:

Required Skills and Competencies:

• Solid analytical and problem-solving capabilities
• Fundamental knowledge of heat transfer, solid mechanics, and numerical methods
• Basic understanding of Finite Element Analysis (FEA)
• Strong interest in AM and Materials Engineering
• Ability to work effectively in a team and in a structured engineering environment

Preferred Qualifications (Nice to Have)

• Familiarity with simulation tools (e.g. Abaqus, Ansys, Simufact Additive, or equivalent)
• Basic programming skills (e.g. Python, MATLAB)
• Knowledge of metallurgical aspects related to AM
• Previous academic experience in AM or process simulation

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Education and Requirements:

• Ongoing Master’s Degree in Mechanical, Materials or Aeronautical Engineering
• Availability to carry out the internship as a Master’s thesis project (Tesi Magistrale)
• Academic background in Materials Science, Manufacturing Processes, or Structural/Mechanical Analysis
• Good command of English (written and spoken)

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. 
Our reference collective labor agreement is the National Collective Labor Agreement (CCNL) for the Private Metalworking Industry and Plant Installation Sector. 
Working arrangement: Hybrid 
Employment category: Curricular Internship 
Contract type: Internship 
Gross monthly expense reimbursement: €800,00 
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. 

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