Master Thesis Student

4 weeks ago


Taastrup, Høje-Taastrup Kommune, Denmark Novo Nordisk Full time
Join Our Team as a Master Thesis Student in Data Driven Manufacturing

We are seeking a highly motivated and talented Master Thesis student to join our team in Data Driven Manufacturing. As a Master Thesis student, you will have the opportunity to work on a real-world project that will help us deepen our ability to transform data into data-driven choices that enable us to capitalize on key opportunities within our manufacturing processes.

About the Project

The project aims to investigate how to leverage existing data to better understand when to replace spare parts. Currently, there is no easy way to monitor the condition and performance of spare parts, which can lead to equipment breakdowns and deviations from approved processes and standards.

The expected benefits of this project include reducing the amount of equipment breakdowns, understanding or preventing unexpected machine downtime, and better understanding of conditions and performance of spare parts.

About the Department

The position is anchored in the MI&XR development unit within ET Manufacturing Development and Quality Control. Our team consists of 12 highly skilled colleagues with different backgrounds ranging from data scientists, backend developers, frontend developers, and data engineers. We work closely together with the MI Product and Strategy team, which provides competencies within the roles of product owners, product managers, and UI/UX designers.

We are expanding our team and bringing in new competences and skills. Our ambition is to be the frontier, use the latest techniques and software to draw greater insights and future predictions from the data and thus making a significant impact on how we manage the future manufacturing operation.

About Novo Nordisk

At Novo Nordisk, we don't wait for change. We drive it. We're a dynamic company in an even more dynamic industry, and we know that what got us to where we are today is not necessarily what will make us successful in the future. We are anchored on scientific innovation through the power of our diverse differences. We embrace the spirit of experimentation and strive for excellence without fixating on perfection.

We never shy away from opportunities to develop, we seize them. From research and development, through to manufacturing, marketing, and sales – we are all working together to advance patient care.

Requirements

To be successful in this role, you will need to have a strong background in data engineering, production simulation, and ML/DL. You will also need to be able to work independently and as part of a team, and have excellent communication and problem-solving skills.

We are committed to creating an inclusive culture that celebrates the diversity of our employees, the patients we serve, and the communities we operate in. Together, we're life changing.



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