JUNIOR PROCESS SIMULATION ENGINEER
Pubblicato il 10-09-2026 - CIM Competenze per Industria e Manifattura in Torino
Company description
The CIM Competence Center is the national reference hub for technology transfer and for the dissemination of skills related to the manufacturing and service industries.
CIM is a network composed of Politecnico di Torino and the University of Turin, together with 22 partner companies, making the expertise of industrial leaders available to companies that want to innovate and remain highly competitive in the market.
CIM provides specialized services on enabling digital technologies for Manufacturing 4.0 and offers strategic and operational support for industrial development through the dissemination of services and advanced training courses for company managers.
Controlli attentamente tutta la documentazione richiesta per la candidatura prima di fare clic sul pulsante apposito in fondo a questa descrizione.
Job description
The Junior Process Simulation Engineer will join CIM's technical team and contribute to the modelling and optimization of production and logistics processes.
The position is open to recent graduates and junior professionals with up to three years of experience.
Main activities
- Develop discrete-event simulation models for production, logistics, and material-handling processes.
- Collect and analyse process data to build, calibrate, and validate simulation models.
- Use Siemens Tecnomatix Plant Simulation as the main modelling platform.
- Evaluate alternative scenarios involving layouts, capacity, resources, material flows, and operating policies, also considering Lean Manufacturing and World Class Manufacturing principles.
- Identify bottlenecks and performance improvements, translating results into clear technical recommendations.
- Prepare model documentation and collaborate with internal teams, clients, and technology partners.
Requirements
- Master's degree in management, Mechanical, Automation, Industrial Engineering, or a related field.
- Interest in process simulation, manufacturing systems, logistics, and digital twin t