About the opportunity
The Visual Computing Lab at DTU Compute, in collaboration with the Pioneer Centre for AI, invites applications for a Postdoc position led by Theodora Kontogianni. The role focuses on advancing 3D perception and spatial understanding, with applications in autonomous systems, augmented reality, and embodied AI. The successful candidate will conduct independent and collaborative research, publish in top-tier venues, mentor students, and contribute to research proposals.
Salary and benefits
- Full-time employment for a period of 2 years.
- Salary and terms of employment based on the collective agreement with the Danish Confederation of Professional Associations.
- Negotiable salary supplements in accordance with DTU's salary structure for scientific staff.
- Access to a rewarding and challenging job in an international, academically free, and collaborative environment.
- Relocation support and information for international candidates moving to Denmark.
Who can apply?
- Must hold a PhD degree (or equivalent) in computer science, electrical engineering, mathematics, or a closely related field with a focus on computer vision, machine learning, or robotics.
- Candidates who have not yet completed their PhD may apply but must include a supervisor letter confirming the expected completion date and must receive the degree before starting.
- Strong publication record in top-tier computer vision and/or machine learning venues (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, ICRA, WACV).
- Strong background in 3D perception and spatial understanding (e.g., 3D scene understanding, point cloud processing, multi-view learning).
- Proven software and debugging skills in Python and/or C++.
- Experience with deep learning frameworks (such as PyTorch) and development tools (such as Linux, git, conda, or docker).
- Excellent communication skills and ability to work in interdisciplinary teams.
Required documents
- Application (cover letter)
- Curriculum Vitae (CV)
- Academic Diplomas (MSc/PhD in English)
- List of publications
- Names of 2–3 references who may be contacted
- For candidates who have not yet completed their PhD: a letter from their supervisor confirming the expected date of completion
When to apply
- Application deadline: August 31, 2026, at 23:59 Danish time (09:59 PM).
- Preferred starting date: November 1, 2026, or by mutual agreement.
How to apply
- Prepare all required application materials in English.
- Combine all documents into a single PDF file.
- Click the 'Apply Now' link on the official job portal.
- Fill out the online application form and attach the single PDF file.
- Submit the application before the deadline on August 31, 2026.
Additional information
- Open-source background checks may be conducted on qualified candidates due to security and export control rules for critical technology.
- All interested candidates irrespective of age, gender, disability, race, religion, or ethnic background are encouraged to apply.
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…
- PhD in computer science, electrical engineering, or mathematics
- Proven publication record in top-tier venues like CVPR or NeurIPS
- Strong proficiency in Python, PyTorch, and deep learning frameworks
What should you think carefully about?
- Requires on-site work in Kgs. Lyngby, Denmark
- Subject to security and export control background checks
- Two-year fixed-term contract
How could this fit your current goals and plans?
This postdoc is an excellent fit for a researcher aiming to advance their career in 3D perception and embodied AI while working within a high-profile collaborative environment.
Our take
Experienced researchers in computer vision and machine learning should apply; those without a strong publication record in top-tier venues may be less competitive.
Ready to apply?
Review the opportunity on the official website before applying.
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