Master Thesis Project "Design of restraint systems of a vehicle by coupling Machine Learning al[...]

Italdesign; Moncalieri; In loco; EUR 10.000 - 30.000; Part-time

Descrizione del lavoro

An innovative automotive design company in Moncalieri is inviting students to join a Master Thesis project focused on the design of restraint systems in vehicles. Suitable candidates should be enrolled in a relevant Master’s program and possess a passion for automotive safety and technology, with responsibilities including analyzing crash scenarios and utilizing ML algorithms. The opportunity offers a chance to work in a diverse environment and aims for a duration of about 9 months.

Servizi

Company canteen

Multicultural environment

Competenze

• Strong interest in the application of ML algorithms.
• Good knowledge of crash dynamics and safety systems.

Mansioni

• Analyze the thesis project on occupant safety.
• Design and evaluate restraint systems using FEM.
• Collaborate with the team's tutor to complete the thesis.

Conoscenze

Passion for passive safety

Interest in artificial intelligence

Teamwork skills

Time management

Knowledge of Microsoft Office

Formazione

Enrolled in a Master’s Degree in Aerospace Engineering, Biomedical Engineering, Mechanical Engineering or Automotive Engineering

Strumenti

Pamcrash

LS-DYNA

Python

Descrizione del lavoro

Master Thesis Project: Design of restraint systems of a vehicle by coupling Machine Learning algorithms & Finite Element Method

Italdesign, an Italian design and engineering company specializing in automotive, transportation, and product development, invites an enthusiastic student to join the Numerical Simulations Department. Based in Moncalieri (Turin) with over 1,300 employees worldwide, Italdesign combines creative design with cutting‑edge technology, working with top automotive manufacturers and delivering comprehensive services from concept to production.

Responsibilities

• Analyze and develop a thesis project focused on occupant safety in frontal crash scenarios.
• Study Finite Element Method codes (e.g., Pamcrash, LS-DYNA) and conduct frontal crash analyses.
• Design and evaluate restraint systems, applying FEM software.
• Create a Design of Experiments (DOE) to generate datasets for Machine Learning modeling.
• Apply ML algorithms to predict key biomechanical values and compare results with traditional biomechanical analysis.
• Collaborate with the Department’s colleagues and tutor to produce a comprehensive thesis.

Requirements

• Passion for passive safety, biomechanics, and numerical simulations.
• Strong interest in artificial intelligence and Machine Learning.
• Good teamwork, innovation orientation, responsibility, integrity, and communication skills.
• Proactive time management and strong knowledge of Microsoft Office (Word, Excel, PowerPoint).

Preferred Requirements

• Basic knowledge of FEM codes such as Pamcrash and LS-DYNA.
• Understanding of crash dynamics, interior/exterior design, and restraint systems.
• Familiarity with ML algorithms and programming languages (Python or others).
• English proficiency at least B2 level.

Additional Information

Education: Enrolled in a Master’s Degree in Aerospace Engineering, Biomedical Engineering, Mechanical Engineering or Automotive Engineering.
Language skills: Fluent Italian and English (at least B2).
Workplace: Moncalieri (TO), Italy.
Contract type: Thesis project, estimated duration about 9 months.
Benefits: Company canteen, multicultural and enriching environment.

Italdesign is committed to creating an inclusive, diverse and safe workplace, and we are proud to be an equal opportunity employer (L.903/77). We welcome applications from all candidates, regardless of gender, ethnicity, religion, sexual orientation, disability, parental status, or social origin.