Phd #1 at Mines Paris in Data Science - Sophia Antipolis, France - Mines Paris - PSL, Centre PERSEE

Mines Paris - PSL, Centre PERSEE

Entreprise vérifiée

Sophia Antipolis, France

il y a 2 semaines

Posté par:

Sophie Dupont

beBee Recruiter

Description

PhD #1 at Mines Paris in Data Science & Energy: "Artificial intelligence based prescriptive analytics for energy systems":

Réf

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ABG-114613

Sujet de Thèse 24/01/2024
Autre financement public
Mines Paris
PSL, Centre PERSEE
Lieu de travail
Sophia-Antipolis
Provence-AlpesCôte d'Azur
France
Intitulé du sujet
PhD #1 at Mines Paris in Data Science & Energy: "Artificial intelligence based prescriptive analytics for energy systems"
Champs scientifiques
Sciences de l'ingénieur
Energie
Mathématiques

Mots clés

Data science, artificial intelligence, Energy digitalisation, Power Systems, Energy transition, Forecasting, Optimisation, Prescriptive analytics, Edge analytics, AI on the edge, Smart grids
Description du sujet:

Title:
"Development of prescriptive analytics for energy systems"**
Context and background:
Scientific objectives:

Methodology and expected results:

Nature du financement:

Autre financement public

Précisions sur le financement:

Project PEPR TASE "AI.

NRGY - Distributed AI-based architecture of future energy systems integrating very large amounts of distributed sources"
Présentation établissement et labo d'accueil:

Mines Paris
PSL, Centre PERSEE

The
PERSEE Center is one of the 18 research centers of MINES Paris. Its field of expertise concerns New Energy Technologies and Renewable Energy Sources (RES). Its research strategy is based on a "micro/macro" approach ranging from (nano)materials to energy systems.

It is built around three structuring themes:
i) materials and components for energy, ii) sustainable energy conversion and storage processes and technologies, and iii) renewable energies and smart energy systems.

The PERSEE Center is located within the scientific parc of Sophia-Antipolis, near the cities of Nice, Cannes and Antibes in the south of France.

Its workforce is around 50 people.

Site web:

Intitulé du doctorat:

Doctorat en Énergétique et Procédés
Pays d'obtention du doctorat:
France

Etablissement délivrant le doctorat:

Mines Paris
PSL (Ecole Nationale Supérieure des Mines de Paris)
Ecole doctorale:
Ingénierie des Systèmes, Matériaux, Mécanique, Energétique
PROFILE:
data science, machine learning, artificial intelligence

- applied mathematics, statistics and probabilities
- optimisation
- energy forecasting
- power system management, integration of renewables

Expected level in french :
Good level
Expected level in english: Proficiency- Desired
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starting date is as soon as possible from now to 1st of September 2024. Duration 36 months. Full-time position.- 29/02/2024