Master Thesis Researcher

4 weeks ago


Taastrup, Høje-Taastrup Kommune, Denmark Novo Nordisk AS Full time

Are you interested in applying data engineering and simulation techniques to optimize production planning in a dynamic and innovative environment? We are seeking a Master Thesis Student to join our team and contribute to the development of a data-driven approach to assist production planners in their daily work.

The Project

We are looking for a talented individual to investigate how to leverage existing data foundations and introduce new data models to build a more automatic and data-driven approach to production planning. The goal is to alleviate the cognitive load on production planners and improve the overall efficiency of the production process.

Key Responsibilities

  • Develop and implement data engineering and simulation techniques to optimize production planning
  • Collaborate with the development team to integrate new data models and approaches into the existing production planning system
  • Analyze and optimize production scheduling and network optimization to improve overall efficiency
  • Apply mathematical programming techniques to optimize production planning and scheduling

About the Department

The position is part of the MI&XR development unit within ET Manufacturing Development and Quality Control. Our team is dedicated to redefining our manufacturing approach by creating a fully data-driven and continuous process for oral tablet formulation and optimizing the manufacturing production and analysis from end to end. We aim to create a new paradigm that will alter the approach to drug development by redesigning and digitalizing the processes.

Qualifications

  • Strong background in data engineering, simulation, and mathematical programming
  • Experience with production planning and scheduling
  • Excellent analytical and problem-solving skills
  • Ability to work collaboratively in a team environment


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