Publisher
source

Maarten de Rijke

5 months ago

Information Retrieval University of Amsterdam in Netherlands

Degree Level

PhD

Field of study

Computer Science

Funding

The position is fully funded with a salary of €3,059 – €3,881 per month plus benefits. No information on tuition coverage or additional financial details is provided.

Deadline

Expired

Country flag

Country

Netherlands

University

University of Amsterdam

Social connections

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Where to contact

Official Email

Keywords

Computer Science
Information Technology
Deep Learning
Artificial Intelligence
Information Retrieval
Generative Modeling
C
Low Power

About this position

?? 3 Funded PhD Positions in Generative Information Retrieval
University of Amsterdam ????

?? Focus: Generative models for Information Retrieval (GenIR) – replacing traditional pipelines with end-to-end generative models

?? Department: Faculty of Science, Informatics Institute (IRLab)
????? Supervisor: Prof. Maarten de Rijke [email protected]

?? Salary: €3,059 – €3,881/month + benefits
?? Deadline: 31 October 2025
?? Start: Early–mid 2026

? What you’ll do
? Conduct research in GenIR & publish in top venues
? Work on out-of-distribution, low-resource & dynamic settings
? Contribute to teaching & mentoring students
? Join a vibrant, international research team at UvA Science Park

?? More Info: https://lnkd.in/gVu8s7AA

PhD Amsterdam InformationRetrieval GenerativeAI DeepLearning PhDopportunity UniversityOfAmsterdam

Funding details

The position is fully funded with a salary of €3,059 – €3,881 per month plus benefits. No information on tuition coverage or additional financial details is provided.

What's required

Applicants should have a strong background in computer science, artificial intelligence, or a related field. Experience with generative models, deep learning, or information retrieval is highly desirable. Candidates should be motivated to conduct research, publish in top venues, and contribute to teaching and mentoring. No specific GPA or language test requirements are mentioned.

How to apply

Visit the provided link for more information and application instructions. Contact Prof. Maarten de Rijke at [email protected] for inquiries. Prepare your application materials and submit before the deadline.

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