Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
management systems, proliferation of energy efficient solutions, creation of a “car-lite” society, digitalization of the energy system enabling a ubiquitous smart grid architecture and establishing low carbon
-
Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 11 days ago
science, and energy systems, with applications in smart mobility, electric vehicle integration, and power grid management. It contributes to the design of decision-support tools for infrastructure planning
-
management systems, proliferation of energy efficient solutions, creation of a “car-lite” society, digitalization of the energy system enabling a ubiquitous smart grid architecture and establishing low carbon
-
Battery Energy Storage Systems (BESS) Smart Grids & Power Systems Artificial Intelligence for Energy Systems Digital Twins & Energy Analytics Energy Communities & Electricity Markets Green Hydrogen
-
between academia and industry by addressing research on daily life issues, such as healthcare, space, mobility, human language technologies, agri-food, industry 4.0, and smart grids. This high level of
-
, ensuring security and stability of the distribution grid. The SAILING Doctoral Network aims to train 12 next generation scientists in creating an intelligent and automated energy management system powered by
-
corresponding position; Internationally recognised scientific profile in smart power systems, power electronics, or power grid simulation Proven excellence in research and academic teaching Experience in
-
, ensuring security and stability of the distribution grid. The SAILING Doctoral Network aims to train 12 next generation scientists in creating an intelligent and automated energy management system powered by
-
to one or more of the following areas: Renewable energy systems and photovoltaic technologies Smart grids and power systems Battery energy storage systems Artificial intelligence and machine learning
-
Electrical Engineering, Energy Engineering, Telecommunications, industrial engineering, Mathematics, Physics or other related degrees. Interest on energy and smart grid related issues Knowledge and/or interest