Sustainability First
Integrating life-cycle assessment into the very fabric of hardware design and software deployment.
E-CoRe: Energy-efficient Computing via Reversibility
Setting the stage for the Reversible Computing revolution by training the next generation of experts to make computing sustainable. An international training network funded by the EU's Marie Skłodowska-Curie Actions to advance reversible computing for energy-efficient architectures, languages, algorithms, and applications.
IT is responsible for a surprisingly large proportion of energy consumption and has been estimated to be able to reach 10-20% of the total world energy usage by 2030.
We are a pan-European research network dedicated to solving the sustainability crisis in computing. As the demand for AI and large-scale processing grows, so does its carbon footprint. E-CoRe bridges the gap between raw power and ecological responsibility.
Integrating life-cycle assessment into the very fabric of hardware design and software deployment.
A massive multi-disciplinary effort connecting hardware engineers, linguists, and algorithmic theorists.
Training the next generation of researchers to think about energy as a primary design constraint.
The project is structured into four scientific work packages
The objective of Marie-Curie Doctoral Networks is to train highly skilled doctoral candidates, stimulate their creativity, enhance their innovation capacities and boost their employability in the long-term. Each doctoral candidate will be hired by a partner institution, and enrolled in a PhD programme at one of the partner universities. Doctoral candidates will participate to training activities, both at their institution and organised by the network. They will also have secondments to other partner institutions. Doctoral candidates salaries as well as network activities are funded by the European Union.
Join the E-CoRe network and shape the future of energy-efficient computing.
Explore our PhD topics and open positions to start your journey in energy-conscious computing.