PhD opportunities

High-dimensional optimization of distributed assets in smart grids

Thesis proposal

Area of expertiseEnergétique et génie des procédés
Doctoral SchoolISMME - Ingénierie des Systèmes, Matériaux, Mécanique, Énergétique
SupervisorKARINIOTAKIS Georges
Co-supervisorCAMAL Simon
Research unitEnergétique et Procédés
KeywordsEnergy digitalisation, data science, distributed intelligence, optimization, edge analytics, AI on the edge
ProfileProfile: Engineer and / or Master of Science degree (candidates may apply prior to obtaining their master's degree. The PhD will start though after the degree is succesfully obtained).
Good level of general and scientific culture. Good analytical, synthesis, innovation and communication skills. Qualities of adaptability and creativity. Motivation for research activity. Coherent professional project. Skills in programming (eg R, Python, Julia,…). A succesful candidate will have a solid background in three or more of the following competencies:
• applied mathematics, statistics and probabilities
• data science, machine learning, artificial intelligence
• optimization
• energy forecasting
• power system management, integration of renewables

Expected level in french : Good level
Expected level in english : Proficiency
FundingContrat de recherche