How you can make an impact
- Identify and develop end-to-end condition monitoring use cases for condition based maintenance (CBM) on rolling stock, including:
- Identify how to use available data for condition monitoring
- 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
- Advertise, manage and supervise student projects from Engineering schools, universities and federal institutes
How you will contribute
Your profile:- You can prove practical experience or education in Engineering, Computer Science, Data Science, or a related field
- 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
- Strong analytical and problem solving skills: A system engineering mindset with the ability to understand technically the systems under study and to identify rapidly how data could be used for their condition monitoring
- 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:
- Experience with code versioning and with co-development
- Experience in deploying app with CI/CD pipelines
- Experience with containerisation
- Experience with embedded software / hardware development
- Experience in building informative dashboards (streamlit, graphana, powerBI, superset,...)
- Experience in the railway industry or in the maintenance of large & complex assets
