INTERNSHIP - MATERIALS ENGINEER - COMPOUND RESEARCHER

Job Purpose

Joining a dynamic and motivated materials development team, the R&D materials researcher will lead efforts to investigate on diffusion phenomena in rubber matrix.

The candidate will play a key role in a technical work of a specialized nature. Purpose of the research is to investigate how different raw materials affects rubber compounds properties. The activity deals with setting of design of experiments, extensive mechanical and chemical characterization of elastomers, data analysis and technical report preparation.

Core Responsibility & Working relationship

• Active participation to laboratory activities and material preparation.
• Design of experiments supported by statistical tools, driven by both theoretical understanding of the problem and by experimental evidence.
• Mechanical and chemical rubber compound characterization (e.g. DMTA, quasi-static test, tribology, TGA, etc).
• Data analysis and technical report preparation.
• New methods development and know-how build-up for mechanism understanding.
• Work effectively with technicians, R&D researchers and Management of Bridgestone EMIA Technical Center, actively taking part to R&D cross-functional teams.
• Collaborate with Bridgestone Corporate Functions, Bridgestone America and Bridgestone Japan and Bridgestone Europe manufacturing plants.

Job requirements

• Master’s Degree in Materials Engineering, Chemical engineering, Materials Science, Chemistry, Industrial Chemistry, or any other related field of study.
• Materials science knowledge in polymer and elastomers field, with specific focus on diffusion phenomena in rubber matrix.
• Laboratory experience in the field of mechanical and chemical characterization of materials.
• Goal-oriented, motivated, creative and collaborative. Able to work within diverse teams, with strong communications and presentation skills, capable to explain complex concepts in a smart way.
• Ability to work under time pressure, independence, with problem solving approach.
• Digital mindset: solid knowledge of MS Office package. Good scripting and programming skills with software such as Matlab, Minitab, Python. Experience in machine learning, big data analytics & computer vision is a plus.
• Fluency in written and spoken English.

Position is based at the BS EMIA Technical Center in Rome, Italy.