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University of Bonn

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Fully Funded PhD Positions in Humanoid Robotics and VLM-Based Robotic Perception at University of Bonn University of Bonn in Germany

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Aug 14, 2026

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Country

Germany

University

University of Bonn

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Keywords

Computer Science
Agriculture
Deep Learning
Artificial Intelligence
Robotics
Robot Perception and Sensors
Robot Motion Planning
agricultural robot

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About this position

2 fully funded PhD positions are available in Humanoid Robotics at the University of Bonn, hosted by the Humanoid Robots Lab headed by Prof. Maren Bennewitz.

The openings focus on two research directions: VLM-based reasoning and robotic intervention in greenhouses (including 3D crop perception, vision-language methods, inspection, and harvesting) and uncertainty-aware active perception and mobile manipulation for task-oriented perception in cluttered and dynamic environments.

These positions are a strong fit for applicants with a Master’s degree in Computer Science, Robotics, AI, or a related field. Desired background includes research experience in active perception, robot planning, mobile manipulation, humanoid robotics, vision-language models, deep learning, ROS, and PyTorch, along with strong programming skills and English proficiency.

The positions are fully funded with 100% TV-L E13 salary. Start is as soon as possible.

To apply, prepare a single PDF under 8 MB and submit it via the lab application page. The application should include a CV, motivation letter, transcripts, programming experience, MSc thesis or papers, GitHub/website, and two references. Deadline: 14 August 2026 or until the positions are filled.

Contact: maren@cs.uni-bonn.de. Lab website: hrl.uni-bonn.de.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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