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About This Role
- Operations Research Engineers design, develop, and apply engineering, mathematical models, simulation and optimization/machine learning models to drive solutions to complex manufacturing and supply chain problems.
- Identify and solves highly complex problems in factory performance, loading, equipment performance, decision science and, supply and distribution network problems.
- Require a thorough understanding of the factory (Fab and Advanced packaging) environment and supply chain knowledge to develop complex engineering models and apply them to identify and drive solutions.
- Build, develop, validate and apply mathematically based decision algorithms, heuristics, optimization and simulation models and AI tools.
- Work closely with the business units to identify root causes, define the strategic and tactical needs and drive the appropriate business and technical solutions.
- Develop solutions to problems utilizing formal technical training, business knowledge and judgment.
Qualifications
- The experienced candidate requires a Masters or PhD in Operations Research, Industrial Engineering, Systems Engineering, Computer Science, Management Science or related discipline such as Machine Learning or Mathematics with a focus on deterministic/stochastic optimization modelling and programming.
- Additional qualifications include: Solid operation research knowledge, especially Linear programming, etc.
- Familiarity with Production Scheduling will be a plus Programming experience in C# or Python Knowledge of database management systems, such as SQL Server, would be an added advantage Good understanding on supply chain management/optimization, especially production planning etc.
- Familiarity with data mining and visualization tools Available to work at least 3 days per week onsite.
- Able to commit to a minimum 6-month internship.
Sourced directly from Intel’s career page
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Specialisation
Open roles at Intel
590 positions
Job ID
/job/PRC-Shanghai/Operations-Research-Engineer-Intern_JR0286945
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