About the opportunity
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 contribute to research on the next generation of reliable and self-adaptive AI-enabled systems. As a PhD student at DTU, you will work in an international and collaborative environment with access to state-of-the-art facilities and opportunities to engage with leading academic and industrial partners. Funded by the Novo Nordisk Foundation, the REGAIN-AI project explores how uncertainty introduced by generative AI components can be characterized, bounded, and controlled in embedded, edge, and distributed computing environments. The position is a 3-year full-time appointment starting on 1 January 2027 or by mutual agreement.
Salary and benefits
- Fully funded 3-year PhD scholarship position.
- Salary and appointment terms based on the collective agreement with the Danish Confederation of Professional Associations, with allowances agreed upon with the relevant union.
- Access to state-of-the-art facilities and opportunities to engage with leading academic and industrial partners.
- Supportive international and interdisciplinary research environment with options for relocation assistance and seminars.
Who can apply?
- 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 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, dependable systems, or related areas.
- Strong analytical and mathematical problem-solving skills.
- Experience with programming and experimental evaluation of computing systems.
- Excellent communication skills in English.
Required documents
- 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
When to apply
- Application deadline is 21 October 2026 (23:59 Danish time).
How to apply
- Open the online application link via 'Apply now' on the career portal.
- Fill out the online application form.
- Combine all required application materials in English into one single PDF file and upload it.
Additional information
- You may apply prior to obtaining your master's degree but cannot begin before having received it.
- 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.
Our Take on This Opportunity
This section reflects Open Opportunities’ own analysis of the opportunity from an applicant’s perspective.
You may be a strong fit if…
- Master's degree in Computer Science, Electrical Engineering, or Applied Mathematics.
- Strong analytical skills and experience with programming and experimental evaluation of computing systems.
- Interest in the intersection of AI, embedded systems, and dependable computing.
What should you think carefully about?
- The position is on-site at DTU Compute, requiring relocation to Kgs. Lyngby.
- The role is a 3-year fixed-term appointment, which requires a clear focus on completing the PhD research objectives.
- As with other DTU roles, open-source background checks may be conducted due to the critical nature of the technology.
How could this fit your current goals and plans?
This PhD scholarship is a great fit for someone looking to contribute to the cutting edge of reliable AI. The project's focus on generative AI in distributed environments offers a chance to work on high-impact, real-world problems while benefiting from the collaborative, international environment of the REGAIN-AI project.
Our take
Highly suitable for motivated students with a strong technical background in AI or embedded systems who are looking for a fully funded, structured 3-year PhD program.
Ready to apply?
Review the opportunity on the official website before applying.
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