About the opportunity
The Visual Computing section at DTU Compute is seeking a highly motivated PhD candidate to conduct cutting-edge research at the intersection of computer vision, generative AI, and human–AI interaction. The project focuses on developing AI systems that can engage in visual dialogues, where users communicate with AI tools visually and the AI responds with meaningful visual outputs. The successful candidate will develop state-of-the-art models, curate datasets, publish at top-tier venues, and contribute to teaching. This is a 3-year, fully funded position within an internationally oriented research environment that values academic freedom, collegial respect, and a sustainable approach to technology.
Salary and benefits
- Fully funded 3-year PhD position.
- Salary and appointment terms based on the collective agreement with the Danish Confederation of Professional Associations.
- Opportunity to conduct research in an internationally recognized technical university.
- Support for international collaboration, including a research stay abroad.
- Access to a strong research environment and professional development opportunities.
Who can apply?
- A two-year master’s degree (120 ECTS points) or equivalent in computer science, informatics, computer engineering, applied mathematics, or a related field.
- Proven experience in Python.
- Proven hands-on experience with deep learning frameworks.
- High level of motivation and innovation.
- Excellent written and communication skills in English.
- Experience in computer vision is considered a plus.
- Candidates may apply prior to obtaining their master's degree but cannot begin the position until it is received.
Required documents
- Cover letter (motivating the application)
- Curriculum vitae (CV)
- Grade transcripts and BSc/MSc diploma (in English)
- Official description of the grading scale
When to apply
- Application deadline: 20 September 2026 (23:59 Danish time).
How to apply
- Open the 'Apply now' link on the official job page.
- Fill out the online application form.
- Submit all required materials in English as one single PDF file.
Additional information
- The position starts in Fall 2026.
- The scholarship is subject to academic approval and enrollment in a DTU PhD program.
- DTU conducts open-source background checks on qualified candidates due to research in critical technology.
- Applicants from abroad can access resources on moving to Denmark and attend the 'PhD relocation to Denmark and startup Zoom' seminar.
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 holder in computer science, informatics, or related technical fields
- Proven hands-on experience with Python and deep learning frameworks
- Interest in the intersection of generative AI, computer vision, and human-AI interaction
What should you think carefully about?
- The position is fully on-site, necessitating relocation to the Lyngby area
- Candidates must have their master's degree in hand before the start date in Fall 2026
- The selection process includes an open-source background check
How could this fit your current goals and plans?
This three-year PhD scholarship provides a structured environment to develop state-of-the-art AI models and publish at top-tier venues. It is a strong fit for an early-career researcher aiming to build a robust academic portfolio while gaining experience in teaching and international collaboration.
Our take
Highly motivated students with a strong technical foundation in deep learning who are eager to pursue a PhD in a collaborative, internationally recognized environment should consider this role. It is less suitable for those who prefer flexible or remote research arrangements.
Ready to apply?
Review the opportunity on the official website before applying.
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