PhD scholarship in Computer Vision and Multimodal Human-AI Interaction DTU Compute

Are you passionate about computer vision deep learning and multimodal AI and excited to shape how humans and machines communicate Do you want to help build the next generation of AI systems that go beyond text and understand the visual ways in which people naturally express themselves

We are looking for a highly motivated PhD candidate to join us in developing AI that can communicate visually rather than through language alone. You will conduct cutting-edge research at the intersection of computer vision generative AI and humanAI interaction publish at the worlds leading venues collaborate with top researchers in Denmark and abroad and help define a new paradigm for how people interact with AI.

The position is a fully funded 3-year PhD at DTU Compute in the Visual Computing section a strong and internationally oriented research environment for computer vision and machine learning.

Responsibilities and qualifications
The goal of this PhD project is to develop AI systems that can engage in visual dialogues where people communicate with AI tools visually and where the AI responds with meaningful visual outputs. Todays multimodal models excel at answering questions about images but they cannot truly communicate visually. You will help close this gap by designing models that both interpret visual communicative signals and generate visual responses making AI a more natural intuitive and inclusive collaborator.

During your PhD you will:

• Develop state-of-the-art computer vision and multimodal AI models for visual dialogues.
• Build and curate datasets to train and evaluate these models.
• Publish and present your research at top venues (CVPR ICCV ECCV).
• Spend a few months abroad during your PhD.
• Contribute to teaching as a teaching assistant at DTU.

Candidates should have the following required skills:

• A two-year masters degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year masters degree in computer science informatics computer engineering applied mathematics or equivalent.
• Proven experience in Python.
• Proven hands-on experience with deep learning frameworks.
• High level of motivation and innovation.
• Experience in computer vision is a plus.
• Excellent written and communication skills in English.

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.

Assessment
The assessment of the applicants will be made by Associate ProfessorDimitrios Papadopoulos.

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. Please see DTUs salary structure for scientific staff: period of employment is 3 years; start in Fall 2026.

You can read more about career paths at DTU here.

Further information
If you have questions you are very welcome to contact Associate Professor Dimitrios Papadopoulos 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 than20 September 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 (CV)
• Grade transcripts and BSc/MSc diploma (in English) including official description of grading scale

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.

DTU Compute
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 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.