Junior Predective Testing - Milano, Italia - Pirelli

Pirelli

Azienda verificata

Milano, Italia

3 settimane fa

Inviato da:

Piero Bianchi

Reclutatore di talenti per beBee

Descrizione

The resource will be part of the predictive testing team based at the R&D Headquarters in Milan within the Material Laboratory.

The team's main mission is:

- to develop experiments that can relate tire performance (such as wear and friction) to material properties.
- to run numerical models to interpret these experiments and consequently identify main levers able to influence the material properties.
- to model final behavior of material in order to predict/anticipate their performances once applied to the final product (the Tire).

To achieve this, the predictive testing team also proactively collaborates with internal R&D divisions (e.g. indoor & outdoor testing, FEA modeling, compounding and product pre-development) and external stakeholders (e.g. universities, research centers and machinery/tool suppliers) to widely take advantage of open innovation opportunities.

The resource will support the team and will take care of the following activities:

Daily support to the predictive testing team with advanced data/statistical analysis of the experimental activities, data analytics and modeling, computational research activity (Matlab and Python).
Development and update physicalbased models to predict wear, friction, fatigue resistance of rubber compounds and regularly evaluate the quality and correctness of these models.
Management and coordination of projects with internal and external stakeholders, Interaction with other corporate business functions.
Reporting activities, drafting technical documentation, and knowhow sharing.
Development of new laboratory tests and measurement methodologies.

Required skills and experiences:

Master's Degree in Materials Science/Physics/Materials Engineering.
Passionate about material research and daily R&D activities.
Data analysis for result processing/data mining/data visualization.
Numerical coding skills and experience with Python and MATLAB (at least one) including data manipulation and statistical libraries.
Fluent in English, oral and written.
Project management skills.
Openminded and proactive in looking at new unknown challenges.
Curious about new approaches and committed to continuously increase technical knowledge.
Proactive approach and ability to work in team.
Excellent knowledge of MS Office package.
Flexibility to move to follow the activities we have with external collaborators.
Optional know how about tribological model in the "rubber field" will be considered a plus.