The Site Automation team is part of the Site Engineering department, and is in charge of support all the aspects related to automation computerized systems adopted in Production MPU and QC.
Site Automation has the following main responsibilities :
Technical Operations Support (incidents, investigations, technical problem solving)
Assure Reliability and Compliance (maintain system configurations and documentation, support qualifications and change management, execute efficient CAPA)
Address System Design (design reliable and compliant systems, support development of global strategies and roadmaps)
All these tasks are managed and tracked through enterprise systems which allow to compute statistics and trend analysis, in order to identify recurrent issues, performance degradatation, patterns which highlight increasing risk of incidents or technical damage.
Currently Site Automation needs to build up a process to analyse and evaluate all diagnostic data which may support the prediction of possibile incidents, problem solving and system stabilization, in order to pursue continuous improvement.
The realization of this setup would be a great opportunity for an intern.
Project purpose : build up a process to collect, analyse and evaluate all digital diagnostic data which may support the prediction of possibile incidents, problem solving and system stabilization, in order to pursue continuous improvement
Main activities : indentify the sources of relevant diagnostic data and statistics, realize a digital collection and elaboration system for such data, develop digital dashboards to display results
Expected results : deliver a set of dashboard to display relevant disgnostic data, able to highlight trends, degradations and predict risks of incidents and technical issues
Competencies the intern will develop thanks to the internship experience :
Technical competencies : develop / improve skills in digital data management and business intelligence, data collection, computation and display
Operational Excellence : develop skills in process analysis and continuous improvement
Relational competencies : learn to have relationships and interaction with many people with different expertises, roles, and organizational responsibilites
Master degree in Engineering or Information Technology
Fluent in English
Good knowledge of Information technology infrastructure
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