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Postdocs in Computer Vision and Embodied AI for Autonomous Agricultural Robotics – DTU Electro

Technical University of Denmark (DTU)

Published on August 29, 2026

LocationDenmark DeadlineSeptember 1, 2026 · CLOSED Job typeNot specified International applicantsYes

About the opportunity

The Perception and Cognition for Autonomous Systems (PCAS) group at DTU Electro is recruiting two Postdocs to advance Physical AI and 3D perception for autonomous agricultural robots. The positions contribute to the EU-funded AGROBOOST and Novo Nordisk Foundation-funded Robotic Intercropping flagship projects. Researchers will work on AI-based perception and robot navigation, focusing on multi-modal sensor fusion, modular autonomy architectures, foundation models (VLMs/VLAs/WAMs), and robust perception in field conditions. Responsibilities include developing algorithms for real-time edge computing, participating in living lab field tests, publishing in top computer vision and robotics venues, and co-supervising students.

Salary and benefits

  • 2-year postdoctoral position starting November 1, 2026, or by mutual agreement
  • Salary and terms based on the collective agreement with the Danish Confederation of Professional Associations
  • Allowance agreed upon with the relevant union
  • International, collaborative research environment with academic freedom and state-of-the-art facilities
  • Relocation and moving guidance for international applicants

Who can apply?

  • Must hold a PhD degree (or equivalent) in computer science, electrical engineering, robotics, or a closely related field
  • Strong background in computer vision and machine learning with a proven publication record in top-tier venues
  • Expertise in areas such as 3D point cloud processing, multi-modal data fusion, or embodied AI
  • Proven software skills in Python and/or C++ and experience with deep learning frameworks like PyTorch
  • Experience with development tools such as Linux, Git, and Docker
  • Ability to work effectively in interdisciplinary teams and lead collaborative research efforts

Required documents

  • Cover letter (application)
  • Curriculum Vitae (CV)
  • Academic Diplomas (MSc/PhD in English)
  • List of publications

When to apply

  • Application deadline: September 1, 2026, at 23:59 Danish time (09:59 PM)
  • Expected starting date: November 1, 2026, or according to mutual agreement

How to apply

  • Click the Apply Now link on the official DTU job portal
  • Complete the online application form
  • Combine all required documents in English into one single PDF file and attach it to your application

Additional information

  • Positions are tied to the flagship projects AGROBOOST (EU-funded) and Robotic Intercropping (Novo Nordisk Foundation)
  • For further information, contact Professor Lazaros Nalpantidis via email at lanalpa@dtu.dk or phone at +45 5162 1776
  • Open-source background checks may be conducted for qualified candidates due to security and export control rules for critical technology

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 holders in robotics, computer vision, or electrical engineering with top-tier publication records.
  • Experts in 3D point cloud processing, multi-modal sensor fusion, or embodied AI.
  • Proficient developers in Python, C++, and deep learning frameworks like PyTorch.

What should you think carefully about?

  • This is a two-year position requiring on-site work in Denmark.
  • Candidates should be prepared for field tests in living labs, which may require physical presence in agricultural settings.
  • Background checks may be conducted due to the nature of the critical technology involved.

How could this fit your current goals and plans?

This role is ideal for a researcher looking to apply foundation models and advanced perception algorithms to real-world agricultural robotics in a well-funded, flagship project environment.

Our take

Robotics and computer vision researchers seeking to advance physical AI in a collaborative academic setting should apply for these two-year postdoctoral positions.

Ready to apply?

Review the opportunity on the official website before applying.

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