About This Role

A Marie Skłodowska-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 [https://aegis-dn.eu/], 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 Skłodowska-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.

Responsibilities and qualifications

The PhD project is DC13, Fleet-Level Workload Shaping with Live Grid Signals.

You will build the central orchestration engine of the AEGIS fleet: reacting to

live grid signals, it decides where to place, pause, or move workloads, and

which sites should change their power use with batteries, cooling, and adaptable

compute. You will be responsible for:

* Designing a multi-agent orchestrator that can handle multiple datacenter

sites.

* Implementing multi-timescale control, from sub-second to hourly decisions.

* Developing learning-based decision methods, such as contextual bandits with

bounded-regret guarantees.

* Building a counterfactual analysis toolkit that estimates the carbon savings

of different orchestration policies.

* Publishing and disseminating research in international conferences and

journals.

* Collaborating with the academic and industrial partners in AEGIS, and

contributing to the department with service work, including being a Teaching

Assistant.

You must have a two-year master's degree (120 ECTS points) or a similar degree

with an academic level equivalent to a two-year master's degree.

We expect that you have:

* Strong algorithms and data structures, and solid programming skills.

* A background in one or more of: machine learning, reinforcement learning,

combinatorial optimization, operations research, or distributed systems.

* Curiosity, initiative, and the drive to own a problem end to end.

* Good spoken and written English.

The standard MSCA eligibility criteria also apply:

* No doctoral degree. At the date of recruitment you must not yet hold a PhD.

* Mobility rule. You must not have lived or done your main activity (work or

studies) in Denmark for more than 12 months in the 36 months just before you

are recruited. Short stays such as holidays do not count.

Approval and Enrolment

The scholarship for the PhD degree is subject to academic approval, and the

candidate will be enrolled in one of the general degree programmes at DTU. For

information about our enrolment requirements and the general planning of the PhD

study programme, please see DTU's rules for the PhD education

[https://www.dtu.dk/english/Education/PhD/Rules].

Assessment

The assessment of applicants will be based on academic qualifications, strength

in algorithms and programming, motivation and initiative, and fit with the

research area. The assessment will be carried out by an academic assessment

committee.

We offer

DTU is a leading technical university globally recognized for the excellence of

its research, education, innovation and scientific advice. We offer a rewarding

and challenging job in an international environment. We strive for academic

excellence in an environment characterized by collegial respect and academic

freedom tempered by responsibility.

At DTU Compute, we have a large focus on creating a good working environment.

Our work with diversity and inclusion is an essential part of that. We believe

that having a good working environment is a necessary foundation to provide

excellent research, teaching, supervision and innovation.

At DTU Compute, we have about 140 PhD students. We offer several events and

activities for all our PhD students such as annual PhD Bazaar, onboarding course

where you will meet other PhD students, and you can join our PhD Club that

organizes BBQs, board games events, lunches etc.

You can read more about DTU Compute at www.compute.dtu.dk

[http://www.compute.dtu.dk/].

Salary and appointment terms

The appointment will be based on the collective agreement with the Danish

Confederation of Professional Associations. Please see DTU’s salary structure

for scientific

staff: www.inside.dtu.dk/en/human-resources/during-employment/salary/salary-structures

[http://www.inside.dtu.dk/en/human-resources/during-employment/salary/salary-structures].

The period of employment is 3 years. The starting date is 1 April 2027 or

according to mutual agreement. The position is full-time.

You can read more about career paths at DTU here

[http://www.dtu.dk/english/about/job-and-career/working-at-dtu/career-paths].

Further information

Further information may be obtained from Prof. Paul Pop (paupo@dtu.dk). You can

read more about the AEGIS network at aegis-dn.eu [https://aegis-dn.eu/], the

DC13 project page at aegis-dn.eu/positions/dc13

[https://aegis-dn.eu/positions/dc13/], DTU Compute at www.compute.dtu.dk, and

about Paul Pop [https://orbit.dtu.dk/en/persons/paul-pop/]. More details on

relevant research problems are available from Paul Pop's Google Scholar page

[https://scholar.google.com/citations?hl=en&user=zQdQ2uIAAAAJ&view_op=list_works&sortby=pubdate].

If you are applying from abroad, you may find useful information on working in

Denmark and at DTU at DTU – Moving to Denmark

[https://www.dtu.dk/english/about/job-and-career/moving-to-denmark]. Furthermore,

you have the option of joining our monthly free seminar “PhD relocation to

Denmark and startup “Zoom” seminar

[https://www.dtu.dk/english/about/job-and-career/moving-to-denmark/before-arrival/phd-relocation-to-denmark]”

for all questions regarding the practical matters of moving to Denmark and

working as a PhD at DTU.

Application procedure

Your complete online application must be submitted no later than 31 October 2026

(23:59 Danish time). Applications must be submitted as one PDF file containing

all materials to be given consideration. To apply, please open the link "Apply

now", fill out the online application form, and attach all your materials in

English in one PDF file. The file must include:

* A letter motivating the application (cover letter)

* Curriculum vitae

* Grade transcripts and BSc/MSc diploma (in English) including official

description of grading scale

* An example text written by you, such as a thesis chapter, report, paper, or

substantial technical documentation

* An example code sample written by you, or a repository link with a short

explanation of your contribution

You may apply prior to obtaining your master's degree but cannot begin before

having received it.

Applications received after the deadline will not be considered.

All interested candidates irrespective of age, gender, disability, race,

religion or ethnic background are encouraged to apply. As DTU works with

research in critical technology, which is subject to special rules for security

and export control, open-source background checks may be conducted on qualified

candidates for the position.

Embedded Systems Engineering (ESE) is one of the research sections at DTU

Compute. We develop methods and tools for distributed embedded and

cyber-physical systems, with emphasis on timing, safety, dependability,

optimization, and real-time communication. DTU Compute spans mathematics,

statistics, computer science, and engineering.

DTU Compute – Department of Applied Mathematics and Computer Science – is an

internationally recognised academic environment with over 400 employees and 10

research sections. We broadly cover digital technologies within mathematics,

data science, computer science, and computer engineering, including artificial

intelligence (AI), machine learning, internet of things (IoT), chip design,

cybersecurity, human-computer interaction, social networks, fairness, and data

ethics. Our research is rooted in basic research and centres on mathematical

models of the physical and virtual world, as a basis for the analysis, design,

and implementation of complex systems. We focus on ensuring that our research

results contribute to creating a better society by supporting areas such as

health, green transition, energy supply, and life science. We collaborate with

universities, public and private organisations, and companies in Denmark and

abroad, and through DTU’s startup ecosystem, we encourage innovation and

entrepreneurship. We have a strong ethical, human, and sustainable approach that

ensures integrity in our work. Therefore, we strive for and take responsibility

for driving the democratisation of digital technologies, so that everyone has

the opportunity to actively participate in the development, and we ensure a

continued open, democratic, and inclusive society for the benefit of all. At DTU

Compute, we value diversity, inclusion, and a flexible work-life balance.

DTU – For the benefit of society since 1829

DTU is one of Europe's leading elite technical universities. Through research

and education at an international top level, we create solutions to the major

societal challenges of our time and help secure Europe's global leadership in

sustainable technological development. Since Hans Christian Ørsted founded DTU

almost 200 years ago, our mission has remained the same: We develop and create

value through the natural and technical sciences for the benefit of society. DTU

has 13,800 students, 1,600 PhD students, and 6,500 employees. We work in an

international environment and have an inclusive, stimulating, and informal work

culture. DTU has campuses in all parts of Denmark and in Greenland and

collaborates with the best universities around the world.

About This Role