- Physical thermal models
- Process control
- Develop and integrate advanced physical thermal models to monitor and optimize furnaces in steel manufacturing process
- Develop and integrate online control systems
- Lead research activities in the framework of research projects and technical supports to plants
- Contribute to the development and renewal of the activities: proposal of new research axes, new projects
- Master degree or PhD in Control Engineering, Automation, Physics or any relevant discipline
- Solid background in control engineering (feedback loops, PID controller, Model Predictive Control, optimal controls, ...)
- Computer programming skills with Matlab/Simulink, Fortran, or Python
- Solid knowledge of real-time and embedded systems
- Knowledge of heat transfer, thermal phenomena and physics (combustion, pyrolyse, Oxidation, physical modeling ...)
- Measurement techniques (instrumentation, signal processing)
- Knowledge of Fluent or Comsol will be a plus.
- Advanced levels of English and French
- Ability to run laboratory experiments as well as trials in industrial plants
- Ability to work in a team
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Research engineer in advanced models and control engineering - Maizières-lès-Metz, France - ArcelorMittal
Description
ArcelorMittal is the world's largest steel producer. We use the most innovative technology to create the steels tomorrow's world will be made of. Every day over 190,000 of our talented people, located in over 60 countries, push the boundaries of digitalization and use advanced technology to create a world that is stronger, faster and smarter. To help make this possible, they know they can depend on the support and training that a company of our scope and scale can provide.
ArcelorMittal Maizieres Research is the worldwide largest research center of ArcelorMittal company. The campus is composed with 4 labs dedicated to specific areas: Product, Process, Bars& Wires, Pilote. The job is proposed in the Digital Technologies cluster, part of the Process Lab. The mission of the cluster is to develop digital and cyber-physics (based on sensors and data science) solutions for process control and optimization in one hand and product control on the other hand. About 40 people, apprentices, technicians, engineers, researchers are working in this cluster. Advanced physical models and process controls, especially for energy-intensive processes, are very important, directly linked to the digitalization transformation (industry 4.0) and the decarbonization programms of ArcelorMittal company.
Your role
As Research Engineer, you will be involved in several activities linked to the process decarbonization and digitalization (industry 4.0), in which you will contribute in two main research axes:
You will have following missions :
Your profile
What we will offer
Integration in a highly qualified group of researchers with the possibility of pursuing a career in the scientific area in the R&D organization of the world's largest steel producer.
According to ArcelorMittal Global R&D values:
- You agree to comply with health and safety rules
- You are respectful, transparent, honest and empathetic in your relationships. You honor your word and your commitments to others
- You agree to behave consistently with the highest level of integrity
- You strive to question your practices. with high expectations of yourself and others, You strive for a high level of quality and reliability in everything You do.
- You recognize that diversity, varied skills and fresh ideas make a group exponentially better in the pursuit of a common goal
- You know that learning changes minds and lives, so You are committed to learning throughout your professional career and continually achieving the skills required and essential to your success
- You are open to ideas that challenge conventions and stimulate innovation
Join us and you will see that your work will help create renewable energy, impact major industries and boost economies. At ArcelorMittal, we'll help you create your world.
Attractive remuneration with stimulating career prospects in which eminent scientists and engineers evolve in a multicultural environment.
