PhD position: Data-driven control of industrial processes
Automatic Control Laboratory
vor 4 Tg.

Job description

The research activities in this interdisciplinary field comprise several of the following activities :

  • Selection of appropriate data / sensors to monitor and model the process, data collection
  • Modeling and learning of a system / process model
  • Adaptation or development of an appropriate control algorithm, applying an optimization-based approach
  • Demonstration on the system
  • Your profile

    Data modeling, programming (Matlab, Python), and understanding of control methods are essential for the successful completion of the proposed research.

    Experience with integration of hardware units (Labview or C / C++ programming) could be beneficial for implementation on the real system.

    This type of project is a collaboration with other research labs, and possibly an industrial partner, and will be completed with the continuous support of a team of R&D experts, scientists, engineers, and doctoral students with background in mechanical, electrical, or chemical engineering.

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