Marie Skłodowska-Curie PhD fellowship in Learning and Optimization Algorithms for Carbon-Aware Datacenter Fleets - DTU Compute

Danmarks Tekniske Universitet; Ørsted; On-site; DKK 314,000 - 404,000; Full time

Job summary

DTU Compute in Denmark invites applications for a Marie Skłodowska-Curie PhD fellowship in Embedded Systems Engineering. You will join 15 Doctoral Candidates of the MSCA Doctoral Network AEGIS, coordinated by Prof.

Paul Pop with European partners. The project is software and algorithms focused: you will design methods to decide where AI workloads run and when datacenter sites shift power use, enabling hundreds of sites to act as a carbon-efficient grid resource.

Qualifications

• Strong background in algorithms and data structures.
• Willingness to learn optimization methods in a research setting.
• Interest in software and data-driven approaches to energy-aware datacenters.

Responsibilities

• Design algorithms and build software that decide where AI workloads run and when datacenter sites change their power use.
• Collaborate across Europe as part of the MSCA Doctoral Network AEGIS.
• Develop methods that enable hundreds of sites to act as a carbon-efficient grid resource.

Skills

Algorithms/Data structures

Software design

Academic research mindset

Education

Master’s in Computer Science or equivalent

Job description

A Marie Sk&lig;odowska-Curie PhD fellowship is available in the Embedded Systems Engineering (ESE) section at DTU Compute. You will be one of the 15 Doctoral Candidates (DCs) of the MSCA Doctoral Network AEGIS, Adaptive Grid-Interactive Edge Datacenter Fleets, which Prof. Paul Pop, DTU, coordinates together with 10 partners across Europe.

This is a software and algorithms project. You will design algorithms and build software that decide where AI workloads run and when datacenter sites change their power use, so that hundreds of separate sites act as one carbon-efficient grid resource. The project does not involve electronics, FPGAs, or low-level embedded development, and it does not require prior knowledge of datacenters or energy systems: with a strong background in algorithms and data structures, you can learn the optimization methods and the domain during the PhD.

Marie Sk&lig;odowska-Curie fellowships are among the most respected and best-paid PhD positions in Europe. AEGIS sits where two fast-growing fields meet: datacenters and AI infrastructure on one side, energy and power systems on the other. Few people 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 datacenter operators, energy companies, grid operators, telecom companies, and in academia.

As an MSCA Doctoral Candidate, you will receive: (i) a competitive salary and employment conditions in accordance with the applicable Danish collective agreement and MSCA rules; (ii) two funded secondments, at TU Berlin and at Center Denmark; and (iii) a network-wide training program. The MSCA mobility and, where applicable, family contributions form part of the total employment remuneration and are not necessarily paid as separate supplements.