How you can make an impact
• Identify and develop end-to-end condition monitoring use cases for on-board batteries (auxiliary and/or traction batteries)
• Support our maintenance location to understand the collected data
• Develop data processing frameworks for online condition monitoring (data logging, data processing, minimum viable product/dashboard)
• Match results in the field to identify the relevant maintenance tasks which could be performed based on condition
• Document your findings and advertise to the rest of the company and to our clients
• Support and manage industrialisation of findings and transfer between various fleets of different generations
• Help the team in staying up-to-date with the latest developments in data-driven maintenance related topics
• Support the Stadler Group with your battery knowledge (production requirements, warranty, service, life-cycle cost estimation,...)
How you will contribute
• You have a good understanding of batteries (different chemistries), from their state-of-health estimation and from typical degradation mechanisms and failure modes• You have a very good and proven command of Python
• A very good command of German and/or English
• You have experience with applied data science and are not afraid to deal with unlabelled data from various data sources
• Good communication skills on multiple levels: being able to involve people from varied background in your projects, from the technicians in the workshop, the system experts, to the commercial project leaders of our clients
Beneficial skills:
• Proven experience in battery monitoring from field data
• Experience with code versioning and with co-development.
• Experience in deploying app with CI/CD pipelines.
• Experience with embedded software / hardware development.
• Experience in building informative dashboards
• Experience in the railway industry or in the maintenance of large & complex assets
