Fully Funded PhD Positions in Spatiotemporal Reconstruction of Interacting People at the University of Amsterdam 2025

The University of Amsterdam (UvA) is inviting applications for two fully funded PhD positions in Spatiotemporal Reconstruction of Interacting People for Perceiving Systems at the Faculty of Science, Computer Vision Lab. These positions provide an excellent opportunity for researchers passionate about computer vision, machine learning, and artificial intelligence to contribute to cutting-edge advancements in human-object interaction.

Why Study at the University of Amsterdam?

The University of Amsterdam is one of Europe’s leading research institutions, renowned for its interdisciplinary approach and commitment to innovation. Established in 1632, UvA is the largest university in the Netherlands and consistently ranks among the world’s top universities. The Computer Vision Lab at UvA has a strong reputation for groundbreaking research in artificial intelligence, computer graphics, and robotics.

PhD Scholarship Overview

• University: University of Amsterdam (UvA)

• Department: Faculty of Science, Computer Vision Lab

• Course Level: PhD

• Funding: Fully funded position

• Salary Range: €2,872 – €3,670 per month

• Number of Positions: 2

• Nationality: Open to domestic and international candidates

• Location: Netherlands

• Application Deadline: February 17, 2025

Eligibility Criteria

The scholarship is open to applicants from all nationalities who meet the following requirements:

• A Master’s degree in Computer Science, Artificial Intelligence, Mathematics, or a related field.

• A strong background in computational and mathematical concepts.

• Demonstrated experience or interest in 3D Machine Perception, 3D Human and Object Understanding, 3D Human Avatars, and Machine Learning.

• Strong programming skills in Python, C++, or other relevant programming languages.

• Creativity, curiosity, self-motivation, and the ability to work collaboratively.

• A willingness to engage in international research collaborations and publish in top-tier conferences and journals.

How to Apply

Interested candidates must submit the following documents through the official UvA job portal before February 17, 2025:

• A detailed Curriculum Vitae (CV)

• A cover letter outlining research interests, motivation, and relevant experience

• Copies of academic transcripts

• Contact details of two referees

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Benefits of the PhD Program

• A fully funded PhD position with a competitive salary.

• 232 vacation hours per year, along with additional leave benefits.

• Holiday allowance (8%) and a year-end bonus (8.3%).

• Pension benefits through ABP.

• Professional development opportunities, including UvA training courses.

• Access to state-of-the-art research facilities at UvA’s brand-new Lab42 building.

• Flexible work arrangements with options for remote work.

• Potential collaborations with leading international research teams and industry partners.

About the Research Program

The selected PhD candidates will focus on developing novel techniques for spatiotemporal reconstruction of human-object interactions. This research is crucial for improving perception systems in robotics, augmented reality, and autonomous systems. By leveraging advanced machine learning and computer vision techniques, the project aims to achieve high-fidelity 3D/4D reconstructions that enhance human-computer interaction and artificial intelligence applications.

Why Apply?

This PhD program at UvA offers an outstanding research environment, access to world-class faculty, and the chance to contribute to groundbreaking discoveries in AI and computer vision. If you are passionate about advancing the field of human-object interaction and want to be part of a globally recognized institution, this opportunity is ideal for you.

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Conclusion

To apply for this prestigious PhD position, visit the official University of Amsterdam job portal and submit your application before February 17, 2025. Don’t miss this opportunity to take your research career to the next level!

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