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
Jessica Aeschimann
HR Business Partner
phone +41 79 345 08 53
We are seeking a highly motivated Battery Project Engineer to join our team in developing innovative maintenance technologies for railway rolling stock. This role offers an end-to-end experience, where you'll play a key role in optimizing (predictive/preventative) maintenance strategies for on-board batteries. Your responsibilities will range from supporting our maintenance locations to understand the data collected on the batteries for their optimised operation and maintenance, to identifying how to pro-actively develop condition monitoring solutions, relevant to the need of the Stadler group. You'll also be involved in validating the developed solutions through field testing and deploying them on the company's internal IT platform, ensuring a seamless transition toward a more efficient life-cycle of the batteries.
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