Publisher
source

University of Amsterdam

Postdoctoral Researcher in Learning from Interaction Signals for Search and Recommendation University of Amsterdam in Netherlands

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available

Deadline

Jul 9, 2026

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Country

Netherlands

University

University of Amsterdam

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Keywords

Computer Science
Information Technology
Mathematics
Artificial Intelligence
Information Retrieval
Statistics
Machine learning

About this position

Postdoctoral Researcher opportunity at the University of Amsterdam in collaboration with Booking.com through the Mercury Machine Learning Lab, one of the ICAI Innovation Center for Artificial Intelligence labs.

The project focuses on learning from interaction signals for search and recommendation, with an emphasis on advancing state-of-the-art AI systems that have real-world impact. This is a research role at the intersection of academia and industry, and it is described as highly collaborative.

The position is jointly supervised by Prof. Maarten de Rijke and Dr. Onno Zoeter. Relevant research areas include computer science, machine learning, information retrieval, search systems, recommendation systems, and artificial intelligence.

The post explicitly invites applications from candidates who are passionate about AI research with practical impact. No detailed eligibility criteria, funding amount, or salary information is included in the provided text excerpt.

Application deadline: July 9.

How to apply: Use the vacancy link provided in the post and follow the University of Amsterdam application instructions. Review the full vacancy page for complete role details and submission requirements.

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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