Phd Thesis In Control Systems With Deep Learning

Universities and Institutes of France


October 13, 2022


  • Organisation/Company: ASPI / groupe SIT
  • Research Field: Computer science Engineering › Control engineering
  • Researcher Profile: First Stage Researcher (R1)
  • Application Deadline: 13/10/2022 21:00 - Europe/Brussels
  • Location: France › Saint-Lô
  • Type Of Contract: Temporary
  • Job Status: Full-time
  • Hours Per Week: 35
  • Offer Starting Date: 01/03/2023
  • Context: Specialist in automation of industrial production lines, the company ASPI of the SIT group wishes to offer its customers innovative solutions aimed at significantly reducing their energy consumption. In order to achieve this objective, it conducts joint research with Institute for Research in Embedded Electronic Systems (IRSEEM) on new approaches in control systems up to application on industrial sites. The work carried out so far has notably led to the development of an original multi-objective adaptive predictive control for controlling a pilot distillation unit (thesis by Ms. Marwa Ben Ticha).

    Objective: The selected candidate will explore the path of deep learning methods with the aim of determining the optimal combination of automatic controller parameters (PID type at first then predictive in a second time). These two controllers will be successively applied to the control of an industrial system whose energy efficiency is strongly impacted by a fouling phenomenon posing a problem. The candidate will be able to rely on the simulation and material resources present within the two partners.


    The selected candidate will be employed by ASPI company and will prepare his/her PhD thesis as a student of "Normandy University".

    Selection process

    Send CV, handwritten cover letter, L3, M1 and M2 transcripts as well as two letters of recommendation by e-mail to

    Only interesting applicants will be contacted for an interview with the laboratory and the company.

    Additional comments

    Research will be done within the CIFRE programme (Convention Industrielle de Formation par la Recherche) involving a partnership between a French company, a laboratory and a graduate.

    Offer Requirements
  • Engineering: Master Degree or equivalent

  • FRENCH: Good


    Student with a master's degree or an engineering degree with skills in:

    - computer science (deep learning methods),

    - automation (predictive control),

    - Matlab / Simulink or Python.

    Contact Information
  • Organisation/Company: ASPI / groupe SIT
  • Department: R&D
  • Organisation Type: Small Medium Enterprise, Start-up
  • Website: https:// www.
  • Country: France
  • City: Saint-Lô
  • State/Province: Normandie
  • Postal Code: 50000
  • Street: 403 Rue Henri Claudel
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