Fonction 1: Informatique / Electronique
Fonction 2: -
Expérience requise : De 3 à 5 ans
Niveau d’études: Bac +5 et plus
Secteur d'activité : Enseignement / Formation
Région : Autres régions
Publication : du 04/08/2020 au 04/10/2020
Type de formation: Non renseigné
Type de contrat : CDD
Pays : Maroc
Postes proposés : 1
Poste avec Management : Non

Research Engineer in Applications of Reinforcement Learning in Intelligent Transportation systems - Benguerir

Entreprise :

Mohammed VI Polytechnic University is an institution dedicated to research and innovation in Africa and aims to position itself among world-renowned universities in its fields

The University is engaged in economic and human development and puts research and innovation at the forefront of African development. A mechanism that enables it to consolidate Morocco’s frontline position in these fields, in a unique partnership-based approach and boosting skills training relevant for the future of Africa.

Located in the municipality of Benguerir, in the very heart of the Green City, Mohammed VI Polytechnic University aspires to leave its mark nationally, continentally, and globally.

Adresse :

Lot 660, Hay Moulay Rachid, Ben Guerir 43150

Poste :

Research Engineer in Applications of Reinforcement Learning in Intelligent Transportation systems

Key Responsibilities:

  • Work with research team to provide technical solutions in the field of ITS
  • Implement RL and ML algorithms in Icarus simulator
Your profile:
  • Master's degree in Machine learning and Big Data or related fields
  • Excellent background and research experience in reinforcement learning, deep learning, simulation,
  • Proficient in Python and C/C++ programming
  • Good oral and written communication skills

 

Application:Applications will be accepted until the position is filled.
  • Applications should be submitting online (mandatory)

 

  • Applications should be also emailed ismail.berrada@um6p.ma with the subject "[Research Engineer]", containing your resume.

Profil recherché :

  • Master's degree in Machine learning and Big Data or related fields
  • Excellent background and research experience in reinforcement learning, deep learning, simulation,
  • Proficient in Python and C/C++ programming
  • Good oral and written communication skills