Publisher
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Katrien Verbert

Top university

2 weeks ago

Open PhD and Postdoc Positions in Human-AI Collaboration at KU Leuven KU Leuven in Belgium

I am offering fully funded PhD and postdoc positions in Human-AI Collaboration at KU Leuven.

Keywords

Computer Science
Information Technology
Artificial Intelligence
Human-computer Interaction
Fintech
Data Visualization
Digital Humanities
Learning Analytics
User Interaction
Human-robot Collaboration
Human Resources
Trustworthy Ai
Programming Skills
Explainable Ml
Healthcare Applications
Human-centred Ai

Description

The Augment group at KU Leuven, part of the Human-Computer Interaction Section in the Department of Computer Science, is offering several fully funded PhD and postdoc positions in Human-AI Collaboration. The group’s research centers on Human-Centered AI, a rapidly growing field dedicated to amplifying human abilities and maintaining human control in AI systems. The goal is to make AI more productive, enjoyable, and fair by enabling end-users to understand and steer AI models through input and feedback. This approach aims to foster appropriate trust, acceptance, and accuracy in AI, empowering users to actively participate in data-driven solutions. Research in the Augment group emphasizes visualization and interaction techniques, leveraging a wide range of hardware from mobile devices to large multi-touch displays. The group’s projects span multiple domains, including learning analytics, precision agriculture, healthcare, media consumption, digital humanities, food & nutrition, fintech, and human resources. The positions are part of new research projects focused on human–AI collaboration across these diverse application areas. Successful candidates will join a dynamic and interdisciplinary team at KU Leuven, one of Europe’s leading research universities. The positions offer immediate funding and the opportunity to work in a collaborative, inclusive, and diverse environment. KU Leuven is committed to equal opportunity and values open dialogue and diversity in its research and educational activities. Applicants should have an excellent Master’s degree in Computer Science or a related discipline, strong programming skills, and the ability to conduct independent research. A solid background and interest in human-computer interaction is essential, and experience with data visualization is a plus. Proficiency in English, both spoken and written, is required, along with a strong commitment and ability to work in a team. Applications are open now, and interviews will begin in December. Interested candidates are encouraged to apply as soon as possible. For further information, contact Prof. dr. ir. Katrien Verbert ([email protected]) or Mr. Robin De Croon ([email protected]). The research will be conducted at the Department of Computer Science, KU Leuven, Belgium. KU Leuven fosters an inclusive, respectful, and socially safe environment, embracing diversity as an asset and striving to eliminate discrimination in all forms. For questions about accessibility or support, assistance is available via the provided contact emails. To apply, visit the KU Leuven job portal and submit your application online. Early applications are encouraged due to the upcoming interview schedule.

Funding

Available

How to apply

Apply online via the KU Leuven job portal. Interviews will begin in December, so early applications are encouraged. For more information, contact Prof. dr. ir. Katrien Verbert or Mr. Robin De Croon by email. Review the full position details and submit your application through the provided link.

Requirements

Applicants must hold an excellent Master's degree in Computer Science or a related discipline, possess strong programming skills, and demonstrate the ability to conduct independent research. A solid background and interest in human-computer interaction research is a strong requirement. Candidates should show strong commitment, teamwork skills, and a high level of proficiency in English, both spoken and written. Experience with data visualisation is considered an additional asset.

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