Master Thesis Researcher
4 weeks ago
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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