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Andreas Weber
8 months ago
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Postdoc in Artificial Intelligence, Machine Learning, and Digital Humanities for Historical Manuscript Analysis University of Groningen in Netherlands
Degree Level
Postdoc
Field of study
Computer Science
Funding
This is a fully funded, fixed-term 3-year postdoctoral position at the University of Groningen. The salary is up to €4241 per month, with 232 vacation hours per year (based on a 38-hour workweek), an end-of-year bonus of 8.3%, and an 8% holiday allowance. Additional benefits include professional development opportunities and a supportive, inclusive work environment.
Deadline
Expired
Country
Netherlands
University
University of Groningen
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Keywords
About this position
The University of Groningen invites applications for a postdoctoral position in Artificial Intelligence, focusing on machine learning, deep learning, and digital humanities within the HAICu research consortium. This role centers on developing advanced algorithms for the analysis of complex historical manuscripts, integrating continual learning and human-in-the-loop systems to address multimodal challenges such as layout analysis, logical reading order, and the detection of specialized textual and graphic patterns.
As a postdoc, you will collaborate with PhD researchers, digital humanities experts, and cultural heritage institutions, including the Nationaal Archief, Collectie Overijssel, and Groninger Archieven. The position is based in the Department of Artificial Intelligence at the Bernoulli Institute, Faculty of Science and Engineering, University of Groningen, and is part of a multidisciplinary team working closely with the University of Twente and other partners.
Key research areas include Artificial Intelligence, Machine Learning, Deep Learning, Digital Humanities, Historical Manuscript Analysis, Continual Learning, Human-in-the-loop Systems, Multimodal Analysis, and Pattern Recognition. The successful candidate will publish research in international journals and contribute open-access algorithms to project partners.
Applicants must have a PhD in Artificial Intelligence, Machine Learning, Computer Science, or a related field, with a strong publication record, programming skills, and experience in machine learning and deep neural networks. Excellent English proficiency is required, and experience supervising students is advantageous.
This is a fully funded, 3-year postdoctoral position offering a salary up to €4241 per month, 232 vacation hours per year, an end-of-year bonus, holiday allowance, and extensive professional development opportunities. The application deadline is March 14, 2026. For more information, contact Dr. Maruf Dhali at [email protected]. Apply online via the AcademicTransfer portal.
Funding details
This is a fully funded, fixed-term 3-year postdoctoral position at the University of Groningen. The salary is up to €4241 per month, with 232 vacation hours per year (based on a 38-hour workweek), an end-of-year bonus of 8.3%, and an 8% holiday allowance. Additional benefits include professional development opportunities and a supportive, inclusive work environment.
What's required
Applicants must hold a PhD degree in Artificial Intelligence, Machine Learning, Computer Science, or a related discipline with specialization in machine learning or continual learning. A proven publication record in international, peer-reviewed journals is required. Candidates should have strong programming skills, hands-on experience with machine learning techniques and deep neural networks, excellent problem-solving and analytical skills, and high motivation to work in multidisciplinary contexts. Excellent written and oral English proficiency is required; Dutch is beneficial. Experience supervising students is an advantage.
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Professors
Assistant Professor
Netherlands
Research Interests
Artificial Intelligence
Deep Learning
History
Information Technology
Continual Learning
Professor
Netherlands
Research Interests
Artificial Intelligence
Cultural Heritage
History
Computer Science
Multimodal Analysis
Professor (Emeritus)
Netherlands
Research Interests
Computer Graphics
Artificial Intelligence
Deep Learning
Memristive Devices
Motor Control
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