Gestion éco-flexible et économique assistée par l'IA des portefeuilles renouvelables incluant des centrales hydroélectriques. // AI-enabled eco-flexible and market-aware renewable portfolio management including hydropower.

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Début de la thèse : 01/04/2026

Programmes de l'Union Européenne de financement de la recherche (ERC, ERASMUS)

Mines Paris-PSL

621 ISMME - Ingénierie des Systèmes, Matériaux, Mécanique, Énergétique

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 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 • optimisation • power system management, integration of renewables • energy forecasting Expected level in french : bon niveau souhaitable Expected level in english : excellent ----------------------------------
---------------------------------- Please send the following elements by email to Prof. Georges Kariniotakis (georges.kariniotakis@minesparis.psl.eu) AND to Dr. Simon Camal (simon.camal@minesparis.psl.eu): • Curriculum vitae (CV). • Motivation letter for the application (cover letter). • Copy of grade transcripts and last diploma (in English or French). • Contact details of two individuals that can provide a letter of reference (and eventually available already letters of reference). Please use in the title of email the acronym of this PhD topic “PHD-2026-ERSEI-SE-HYDRO” -------------------------------