We are seeking a highly skilled Mathematical Engineer for the Business Unit Tenova Material Handling to apply advanced mathematical methods, modeling techniques, and computational tools to solve complex engineering and industrial problems. The ideal candidate will bridge the gap between theoretical mathematics and practical engineering applications, contributing to the design, optimization, and analysis of systems, processes, and products in the bulk material handling industry.Key Responsibilities
- Develop and implement mathematical models and algorithms to describe and solve material handling cases
- Perform numerical simulations and computational analyses to predict system behavior and support design decisions
- Analyze complex systems using techniques from:
- differential equations
- optimization
- statistics and probability
- Design and execute model validation activities to ensure accuracy and reliability of results
- Collaborate with multidisciplinary teams (mechanical, electrical, software engineers) to integrate models into our machines

- Identify opportunities for performance improvement and cost optimization using mathematical methods
- Develop simulation tools and support R&D; activities for new technologies and products

What we ask for
- Master's degree (MSc) in Mathematical Engineering, Applied Mathematics, Engineering (with strong mathematical background) or Physics
- Strong knowledge of mathematical modeling, numerical methods, optimization techniques, data analysis
- Proficiency in programming and simulation tools such as MATLAB / Simulink Python / C++
- Excellent analytical and problem-solving abilities
- Ability to translate real problems into mathematical models
- Strong computational and programming skills
- Capability to work in multidisciplinary teams
- Clear communication of complex technical concepts

What we offer
- The opportunity to contribute to the activities with a direct impact on business performance
- A dynamic and international env

Mathematical Engineer

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