ELI - Stage Technology Lab & Inspection
h3Job Description /h3pLeonardo 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. /ppWithin the Engineering area, we are seeking a Stage Technology Lab Inspection in Cascina Costa (VA). /ph3Job Description Summary /h3pWithin 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. /ppThe 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). /ppAs 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. /ppThe activity is part of ongoing initiatives aimed at strengthening the company’s capabilities in Additive Manufacturing (AM) for aerospace applications. /ph3Role Overview /h3pThe 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. /ppThe candidate will operate in a multidisciplinary environment,
contributing to the advancement of digital engineering approaches applied to AM technologies. /ph3Objectives /h3pThe 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. /ppExpected deliverables include: /pulliDevelopment of simulation models (thermal and/or thermo-mechanical). /liliValidation against available experimental or reference data. /liliSensitivity analyses of relevant process parameters. /liliPreparation of a structured Master’s thesis report documenting activities, methodologies, and results. /liliFormulation of recommendations to support industrial application and future developments. /li /ulh3Key Activities /h3pThe candidate will be involved in the following activities: /pulliReview of the state-of-the-art in AM process simulation. /liliDefinition and implementation of finite element or numerical models for LPBF processes. /liliApplication of appropriate material models and boundary conditions. /liliExecution of simulation campaigns. /liliAnalysis and interpretation of outputs (e.g. thermal fields, stress distribution, distortion). /liliCorrelation with experimental evidence, where available. /liliContribution to internal best practices and methodological guidelines. /li /ulh3Candidate Profile /h3h3Required Skills and Competencies /h3ulliSolid analytical and problem-solving capabilities /liliFundamental knowledge of heat transfer, solid mechanics, and numerical methods /liliBasic understanding of Finite Element Analysis (FEA)
/liliStrong interest in AM and Materials Engineering /liliAbility to work effectively in a team and in a structured engineering environment /li /ulh3Preferred Qualifications (Nice to Have) /h3ulliFamiliarity with simulation tools (e.g. Abaqus, Ansys, Simufact Additive, or equivalent) /liliBasic programming skills (e.g. Python, MATLAB) /liliKnowledge of metallurgical aspects related to AM /liliPrevious academic experience in AM or process simulation /li /ulh3Education and Requirements /h3ulliOngoing Master’s Degree in Mechanical, Materials or Aeronautical Engineering /liliAvailability to carry out the internship as a Master’s thesis project (Tesi Magistrale) /liliAcademic background in Materials Science, Manufacturing Processes, or Structural/Mechanical Analysis /liliGood command of English (written and spoken) /li /ulh3WHAT WE OFFER /h3pEngagement, recognition of skills, and a strong focus on people's well-being and safety are the cornerstones of our corporate culture. /ppEvery day, we are committed to fostering an inclusive and stimulating work environment by actively promoting the principles of inclusion, equity, and diversity enhancement. /ppOur reference collective labor agreement is the National Collective Labor Agreement (CCNL) for the Private Metalworking Industry and Plant Installation Sector. /ppWorking arrangement: Hybrid /ppEmployment category: Curricular Internship /ppContract type: Internship /ppGross monthly expense reimbursement: €800,00 /ppOngoing training and professional development opportunities, including both technical and soft skills /ppWell-being: We place the economic, physical, social, and psychological well-being of our people first, offering a variety of solutions tailored to their needs. /ppThe 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. /ph3Primary Location /h3pIT - Varese - Cascina Costa /p #J-18808-Ljbffr
contributing to the advancement of digital engineering approaches applied to AM technologies. /ph3Objectives /h3pThe 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. /ppExpected deliverables include: /pulliDevelopment of simulation models (thermal and/or thermo-mechanical). /liliValidation against available experimental or reference data. /liliSensitivity analyses of relevant process parameters. /liliPreparation of a structured Master’s thesis report documenting activities, methodologies, and results. /liliFormulation of recommendations to support industrial application and future developments. /li /ulh3Key Activities /h3pThe candidate will be involved in the following activities: /pulliReview of the state-of-the-art in AM process simulation. /liliDefinition and implementation of finite element or numerical models for LPBF processes. /liliApplication of appropriate material models and boundary conditions. /liliExecution of simulation campaigns. /liliAnalysis and interpretation of outputs (e.g. thermal fields, stress distribution, distortion). /liliCorrelation with experimental evidence, where available. /liliContribution to internal best practices and methodological guidelines. /li /ulh3Candidate Profile /h3h3Required Skills and Competencies /h3ulliSolid analytical and problem-solving capabilities /liliFundamental knowledge of heat transfer, solid mechanics, and numerical methods /liliBasic understanding of Finite Element Analysis (FEA)
/liliStrong interest in AM and Materials Engineering /liliAbility to work effectively in a team and in a structured engineering environment /li /ulh3Preferred Qualifications (Nice to Have) /h3ulliFamiliarity with simulation tools (e.g. Abaqus, Ansys, Simufact Additive, or equivalent) /liliBasic programming skills (e.g. Python, MATLAB) /liliKnowledge of metallurgical aspects related to AM /liliPrevious academic experience in AM or process simulation /li /ulh3Education and Requirements /h3ulliOngoing Master’s Degree in Mechanical, Materials or Aeronautical Engineering /liliAvailability to carry out the internship as a Master’s thesis project (Tesi Magistrale) /liliAcademic background in Materials Science, Manufacturing Processes, or Structural/Mechanical Analysis /liliGood command of English (written and spoken) /li /ulh3WHAT WE OFFER /h3pEngagement, recognition of skills, and a strong focus on people's well-being and safety are the cornerstones of our corporate culture. /ppEvery day, we are committed to fostering an inclusive and stimulating work environment by actively promoting the principles of inclusion, equity, and diversity enhancement. /ppOur reference collective labor agreement is the National Collective Labor Agreement (CCNL) for the Private Metalworking Industry and Plant Installation Sector. /ppWorking arrangement: Hybrid /ppEmployment category: Curricular Internship /ppContract type: Internship /ppGross monthly expense reimbursement: €800,00 /ppOngoing training and professional development opportunities, including both technical and soft skills /ppWell-being: We place the economic, physical, social, and psychological well-being of our people first, offering a variety of solutions tailored to their needs. /ppThe 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. /ph3Primary Location /h3pIT - Varese - Cascina Costa /p #J-18808-Ljbffr