项目介绍

2026年8月13日

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 designed. Instead of producing a single “best” model, you will use neural architecture search to generate a family of related models. An AI service can then trade accuracy for lower energy and carbon at runtime, picking the right model for the current grid status.

You will be responsible for:

• Conducting research on sustainable and resource-efficient AI systems for edge datacentres.
• Creating hardware-aware search spaces for CPUs, GPUs, and accelerators, and developing multi-objective NAS that considers accuracy, latency, energy, and carbon at the same time.
• Delivering a carbon-aware NAS framework that generates Pareto-optimal model architectures and model libraries whose variants include the metadata needed to switch between them.
• Publishing and disseminating research in international conferences and journals.
• Contributing to the department with service work, including being a Teaching Assistant.
• Contributing to a collaborative research environment and participating in interactions with academic and industrial partners.

You should have:

• A MSc degree in Computer Science, Electrical Engineering, Machine Learning, Applied Mathematics, or a related field.
• A strong academic background and interest in AI systems, embedded intelligence, edge computing, machine learning, or related areas.
• Strong analytical and mathematical problem-solving skills.
• Experience with programming and experimental evaluation of computing systems.
• Excellent communication skills in 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.

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.

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. 

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.

Salary and appointment terms
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. 

The period of employment is 3 years. The starting date is April 2027 or soon thereafter according to mutual agreement.

You can read more about career paths at DTU here.

Further information
Further information may be obtained from Professor Xenofon Fafoutis and Associate Professor Luca Pezzarossa.

You can read more about ESE at www.compute.dtu.dk/sections/emsys and DTU Compute at www.compute.dtu.dk/.

If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark. Furthermore, you have the option of joining our monthly free seminar “PhD relocation to Denmark and startup “Zoom” seminar” 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 4 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
• Links to relevant public code repositories, software artifacts, datasets, or research prototypes (if available)
• Additional material demonstrating previous research experience, such as publications, thesis work, research projects, or similar activities (optional)
• Contact information for up to two references

You may apply prior to ob­tai­ning your master’s degree but cannot begin before having received it.