Germany – PhD in Robotics at University of Bonn (Parral)

Germany – PhD in Robotics at University of Bonn (Parral)

This position is no longer available.

University:
University of Bonn

Country:
Germany

Deadline:

Fields:
Robotics, Computer Science, Photogrammetry, Machine Learning, Engineering

Are you passionate about advancing the frontiers of robotics and eager to contribute to cutting-edge research in perception, computer vision, and mobile robotics? If you envision yourself developing solutions that impact the future of construction site monitoring and infrastructure management, the fully funded PhD position in the Photogrammetry & Robotics Lab at the University of Bonn could be your ideal next step.

About The University Or Research Institute

The University of Bonn, located in the vibrant city of Bonn, Germany, is renowned for its outstanding research environment and academic excellence.

As one of Germany's prestigious Excellence Universities, Bonn consistently ranks among the top institutions in the country and the European Union.

The university fosters a culture of innovation, interdisciplinary collaboration, and internationalization, attracting students and researchers from around the world. Its research infrastructure is state-of-the-art, offering scholars access to advanced technology and resources essential for high-impact scientific work.

Bonn's central location in Germany provides excellent connectivity to major European cities, a high quality of life, and a welcoming, cosmopolitan atmosphere.

Germany itself is a global leader in engineering, robotics, and applied sciences, with a robust industrial sector and a strong emphasis on research and development.

International students benefit from Germany's supportive academic policies, affordable living costs, and opportunities for professional growth in both academia and industry.

The University of Bonn's commitment to gender equality and diversity ensures an inclusive environment where all talented researchers are encouraged to excel.

Research Topic and Significance

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The focus of this PhD position is "Construction Site and Infrastructure Monitoring with 4D Persistent SLAM." SLAM (Simultaneous Localization and Mapping) is a cornerstone technology in robotics,



enabling autonomous systems to map and navigate complex environments.

The integration of 4D SLAM introduces the temporal dimension, allowing for persistent, long-term monitoring and analysis of dynamic construction sites and infrastructure.

This research is highly relevant in today's rapidly evolving world, where the construction and maintenance of infrastructure demand precise, real-time monitoring to ensure safety, efficiency, and sustainability.

Advancements in 4D SLAM will enhance the capabilities of autonomous robots to operate in challenging, dynamic settings, providing valuable data for decision-making and automation in construction and civil engineering.

The outcomes of this work have the potential to transform how we manage and monitor critical infrastructure, contributing to safer, smarter, and more resilient cities.

Project Details

The successful candidate will join the Photogrammetry & Robotics Lab (Stachniss-Lab) under the supervision of Dr. Cyrill Stachniss. The lab is internationally recognized for its pioneering work in robotics, computer vision, and photogrammetry.

It offers a stimulating research environment where team members collaborate on innovative projects, publish in leading conferences and journals, and engage with industry and academic partners.

The PhD position is fully funded (E13, 100% FTE), providing financial stability and support for the duration of the doctoral studies.

The workplace is embedded in a dynamic group of researchers dedicated to pushing the boundaries of robotics and perception.

The lab encourages active participation in teaching, mentoring of students, and collaborative projects with external partners, ensuring a well-rounded academic experience.

Candidate Profile

The Adecuado Applicant For This Position Is a Highly Motivated And Capable Team Player With a Strong Desire To Earn a PhD In Engineering And Work With Mobile Robots.

Candidates Should Have

– An MSc degree in computer science, robotics, geodesy, engineering, or a closely related field, with top grades (1.0 – 1.5 on the German grading scale).

– Demonstrated background in robotics,



computer vision/photogrammetry, or machine learning, evidenced by thesis work, specialization, or advanced coursework.

– Strong coding skills, particularly in C++ and Python.

– Excellent English language proficiency; knowledge of German is not required.

– A proactive mindset, interest in working with real robots and sensors, and willingness to support team activities and teaching.

– Commitment to developing novel solutions, conducting theoretical and practical research, and disseminating results through high-quality publications and open-source contributions.

– Ability to collaborate with external project partners and integrate into the research lab's culture.

Women and individuals from underrepresented groups are explicitly encouraged to apply, reflecting the lab's commitment to diversity and inclusion.

Application Process

To apply, candidates must upload their application documents via the following link before the deadline:

Your Application PDF Should Include

– Curriculum Vitae (2–6 pages)

– Motivation letter (1 page)

– List of relevant courses, including grades (German grading scale)

– Transcripts of records (MSc and BSc) and degree certificates

– Links to the PDF file of your MSc thesis and/or any papers authored

– Links to your website, Github, and Google Scholar profile

– Names, emails, and phone numbers of two referees (professors or senior researchers); no reference letter required

Application

Deadline:
November 30, 2025

Targeted Start Date:
March/April 2026

For further details and to view the original advertisement, please refer to the LinkedIn post by Dr

Cyrill Stachniss:
Conclusion

This opportunity at the University of Bonn offers an exceptional platform for aspiring researchers to make significant contributions to robotics and infrastructure monitoring.

If you are eager to join a world-class research team, develop advanced solutions, and shape the future of autonomous systems, do not miss this chance to apply.

Stay tuned for more opportunities in robotics, engineering, and related fields by following updates below.

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📌 Germany – PhD in Robotics at University of Bonn (Parral)
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