PhD scholarship in 3D Vision and Spatial AI - DTU Compute

Jobbeskrivelse

DTU Compute and the Pioneer Centre for Artificial Intelligence are excited to offer a PhD position for a talented and motivated student to join our lab at DTU led by Theodora Kontogianni. Our research explores how intelligent systems can perceive, understand, and interact with the 3D world. We develop new methods in computer vision, machine learning, and multimodal 3D representations to tackle real-world challenges—spanning applications from autonomous systems and interactive AI assistants to next-generation AR/VR and digital health technologies.

Responsibilities and qualifications

The primary goal of this position is to push the boundaries of computer vision and robotics. The overarching mission of our newly established research lab is to develop autonomous systems that enhance human capabilities across a wide range of impactful applications, from everyday tasks to industry and healthcare. The group’s main focus is advancing perception for robot learning, aiming to create systems that can understand their surroundings and perform a broad range of tasks.

We are particularly interested in candidates who want to explore one or more of the following research areas: multi-modal input, continual learning, and adaptive methods for task planning and execution in real-world environments with autonomous agents. You will be a vital part of the Visual Computing Section, supervised by Theodora Kontogianni. Collaboration with academic partners, locally and internationally, will be a part of the role.

• Conducting research and developing 3D vision algorithms for object detection, recognition, and scene understanding to support planning and task execution in dynamic environments.
• Publishing research findings in leading international conferences and journals.
• Assisting in the supervision of MSc and BSc student projects in related fields.
• Managing your own academic research and administrative duties, including small-scale project management, to ensure various tasks meet deadlines.
• Contributing innovative ideas for new research projects.

Selection Criteria

• 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 mathematics, physics, computer science, electrical engineering or closely related fields with a focus on computer vision, machine learning or robotics
• A strong background in computer vision, and machine learning.
• Prior experience in 3D vision or related fields such as 3D reconstruction
• Proven software and debugging skills in Python and/or C++
• Experience with learning frameworks such as PyTorch
• Experience in Linux and development tools such as git, conda, or docker
• Ability to manage own academic research and associated activities
• Excellent communication skills and ability to work on interdisciplinary teams
• Publication record is highly desired

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.

Assessment

The assessment of the applicants will be made by Theodora Kontogianni.

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. Starting date is 1 January 2026 or according to mutual agreement. The position is a full-time position.

Further information

For more information, please contact Assistant Professor Theodora Kontogianni (thekon@dtu.dk) or Head of Section, Professor Anders Bjorholm Dahl (abda@dtu.dk). You can read more about DTU Compute at DTU Compute -Visual Computing and previous research on Personal Page and Google Scholar.

Application procedure

Your complete online application must be submitted no later than 22 October 2025 (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
• Name up to 2 people who may be contacted to provide reference letter (e.g. master thesis supervisor)

You may apply prior to obtaining your master's 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.