Marie Skłodowska-Curie PhD fellowship in Resource-Efficient and Sustainable AI - DTU Compute

Opportunity summary

Are you interested in pursuing a PhD at the intersection of artificial intelligence, embedded systems, and sustainable computing? Join the Embedded Systems Engineering (ESE) research section at DTU Compute and become one of the Doctoral Candidates (DCs) of the MSCA Doctoral Network AEGIS — Adaptive Grid-Interactive Edge Datacenter Fleets. Marie Skłodowska-Curie fellowships are among the most respected and best-paid PhD positions in Europe. AEGIS sits where two fast-growing fields meet: datacentres and AI infrastructure on one side, energy and power systems on the other. Few people today can work across both, so the skills you build here are scarce and in high demand. Our graduates will be ready for roles at cloud and datacentre operators, energy companies, grid operators, telecom companies, and in academia. As a MSCA Doctoral Candidate you will receive: (i) a competitive living allowance (salary), a mobility allowance and a family allowance (if qualified); (ii) two funded 3-month secondments in the industry in TDC NET (Denmark) and Dell Technologies (Ireland); and a network-wide training program.Responsibilities and qualifications The PhD scholarship is on the topic of “Carbon-Aware Neural Architecture Search (NAS)”. Most AI models are built for one fixed operating point and cannot adapt when grid conditions change. In this project you change how carbon-aware AI is designed1 …

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