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

Are you interested in pursuing a PhD at the intersection of artificial intelligence embedded systems and sustainable computing

Join theEmbedded Systems Engineering(ESE) research section atDTU Computeand 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 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 the date of recruitment you must not yet hold a PhD.
• Mobility 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 masters degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year masters 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 DTUs 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 Fafoutisand Associate Professor Luca Pezzarossa.

You can read more about ESE at DTU Compute at If you are applying from abroad you may find useful information on working in Denmark and at DTU at DTU Moving to you have the option of joining our monthly free seminar PhDrelocation 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 than4 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 masters 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 10 research sections of DTU Compute. Our mission encompasses the creation of insights that allow the development of context-aware distributed and embedded cyber-physical systems with a particular focus on Internet-of-Things (IoT) and the computing continuum era. Our vision is to pioneer advancements in high-tech distributed and embedded systems technology driving change and contributing positively to society. We strive for a future where our research and innovations form the cornerstone of technological advancements and were excited to include more brilliant minds in our journey. See our publications and projects here.

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 DTUs 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. Read more about us at.

DTU For the benefit of society since 1829
DTU is one of Europes 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 Europes 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 13800 students 1600 PhD students and 6500 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.