Doctoral researcher in Adaptive Grid-Interactive Edge Datacenter Fleets (MSCA Doctoral Network)

id="offer-description" class="ecl-u-type-heading-2 ecl-u-mt-none ecl-u-mb-l">Offer Description We are recruiting one doctoral researcher (3 years) to the AEGIS network. AEGIS — Adaptive Grid-Interactive Edge Datacenter Fleets — is a European research and training network. It is funded by the EU through a Marie Skłodowska-Curie Doctoral Network, runs from 2026 to 2030, and trains 15 Doctoral Candidates (PhD students). The DN targets developing software-defined technologies that turn edge data centers from passive electrical loads into active, carbon-efficient and grid-interactive resources. The project has three layers:. A programmable infrastructure layer gives safe, runtime-verified control of a site’s power electronics, cooling, and AI hardware. An intelligence layer reads real-time grid signals and turns a request such as “reduce power by 20%” into the detailed actions that hardware and facilities must take, without breaking service. A fleet orchestration layer coordinates many sites, even when they have different owners, using trusted and privacy-preserving methods, so the whole fleet can act as one Virtual Power Plant. Read more about the project and other participants here: https://aegis-dn.eu/ . Your role:. You will be working on “End-to-End Energy Modeling for Distributed AI Services”. To make carbon-aware decisions, both orchestrators and developers need to see the real energy cost of an AI workload. In this project you build analytical models and systems that make e