Leiden University
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2 weeks ago
Postdoctoral Researcher in Data-Efficient Visual Learning at Leiden University Leiden University in Netherlands
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full funding availableDeadline
Aug 14, 2026
Country
Netherlands
University
Leiden University

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About this position
Leiden University is advertising a Postdoctoral Researcher in Data-Efficient Visual Learning position in the area of computer science, machine learning, artificial intelligence, and related quantitative methods. The post is shared by ELLIS (European Laboratory for Learning and Intelligent Systems), which is highlighting research excellence in AI across Europe.
This is a postdoctoral opening based in Leiden, Netherlands. The role focuses on data-efficient visual learning, which typically includes computer vision, representation learning, and methods that reduce the amount of labeled data needed for strong model performance. The vacancy page is hosted by Leiden University and appears to be a standard academic research job rather than a scholarship or studentship.
Funding: The post is an employment position. The excerpt does not provide salary, contract length, or other financial details, so applicants should consult the official vacancy page for full terms.
Eligibility and requirements: The post does not list detailed requirements in the provided text. Interested candidates should review the official job description for the expected research background, publication record, technical skills, and application documents.
Application deadline: 14 August 2026.
How to apply: Use the Leiden University careers page linked in the announcement. Read the full vacancy carefully, prepare the required documents, and submit the application before the deadline.
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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