Doctoral researcher in Adaptive Grid-Interactive Edge Datacenter Fleets (MSCA Doctoral Network)
Core
Build analytical models and systems to make energy and carbon metrics visible for carbon-aware decisions in distributed AI services.
Role type
Doctoral researcher (PhD candidate)
Builds
Compositional energy models for radio, transport, and datacenter hardware; low-latency query API for end-to-end energy cost.
Domain
Energy-efficient AI, telecommunications, datacenter infrastructure
Deliverable
production ML models
Required skills
AI and machine learning (DNN architectures), computer and telecom networks (RAN), empirical measurements, data analysis and analytical modeling, programming
Preferred skills
Prior work on energy or power measurement
Technologies
DNN, RAN, datacenter hardware
Responsibilities
Develop compositional energy models for disaggregated radio components, transport networks, and datacenter hardware; Build a low-latency query API that returns end-to-end energy cost of an AI service.
Seniority
PhD candidate (entry-level research)
