Je carrière begint op Magnet.me
Maak een profiel aan en ontvang slimme aanbevelingen op basis van je gelikete vacatures.
Start date: As soon as possible
Assignment Duration: 6-9 months
Educational Level: WO
Desired Study: Data Science
Can raw data be converted in valuable insights about the asset health, to drive and optimize maintenance?
Vanderlande systems produce a lot of data, which can be a goldmine for data scientists to transform into insights. Focus of this internship is ADAPTO, a complex asset with many sub-components that need to perfectly work together.
ADAPTO produces a lot of log data, a very small part of it is being used already by the Predictive Maintenance team to create valuable insights on the asset health. However, a lot of more data is available and can be analyzed to produce even more insights and provide a broader perspective on the health of the asset.
Goal of this assignment is to take one or two additional data sources (depending on duration, complexity and speed), interact with SMEs to understand their meaning and potential, create and fine-tune appropriate ML models, validate the outcomes with SMEs and possibly end-users, and deliver the developed solution to the Predictive Maintenance team to productize and integrate it as part of the existing product.
As intern you will work in the Digital Service Platform department, responsible for driving Vanderlande digital transformation through the creation of Digital Services. You will be working in the Predictive Maintenance team, a multidisciplinary, multicultural and distributed team focused on converting data into insights to drive and optimize Maintenance. The team has Data science, data engineer, software development and frontend development capabilities.
As intern you will have ample support and access to the existing knowledge within the team. If the internship is successful, their work will be used by the team to improve and enlarge the existing product.
As intern you will be trained on the ADAPTO functioning, and will be provided a few data sets to be choosing from. As intern you will be expected to:
A successful internship will deliver a model that can be productized and integrated with the existing Predictive Maintenance solution.
Do you recognize yourself in this challenging profile? And are you looking for an internship/graduation assignment in an organization that has been elected as “Best Employer” for years in a row? Please fill out the application form and upload your resume and cover letter. For more information, contact us by e-mail: firstname.lastname@example.org or Stef Alferink (Campus Recruiter) by phone: +31 413 755 087.
Vanderlande is the global market leader for value-added logistic process automation at airports, and in the parcel market. Vanderlande’s baggage handling systems move 4.2 billion pieces of luggage around the world per year. Its systems are active in 600 airports including 14 of the world’s top 20.