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Jagiellonian University

PhD Positions in Artificial Intelligence at Jagiellonian University Jagiellonian University in Poland

Degree Level

PhD

Field of study

Computer Science

Funding

The post announces 5 PhD positions but does not specify stipend amount, tuition coverage, or whether the positions are fully funded. It mentions that applicants should secure additional grant funding for future PhD students in the supervisor guidance section, suggesting funding may depend on project/grant arrangements.

Deadline

Expired

Country flag

Country

Poland

University

Jagiellonian University

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Keywords

Computer Science
Machine Learning
Medical Imaging
Deep Learning
Biology
Mathematics
Artificial Intelligence
Computer Vision
Archaeology
History
Medical Science
Law
Statistics
Bioinformatic
Physics

About this position

Jagiellonian University’s Jagiellonian Center for Artificial Intelligence (JCAI) is opening 5 PhD positions in Artificial Intelligence for the 2026/2027 recruitment cycle.

The call is aimed at ambitious researchers who want to publish at top AI venues such as NeurIPS, ICML, and ICLR. Two tracks are available:

Foundational AI Research: develop new methods and algorithms with a supervisor who has a strong AI research track record.

Interdisciplinary Track: combine AI with another discipline represented at Jagiellonian University, such as law, physics, biology, history, engineering, or heritage-related fields. This track is co-supervised by an AI researcher and a domain expert.

Research areas mentioned across the post and supervisor list include machine learning, deep learning, computer vision, generative models, interpretable ML, bioinformatics, medical imaging, precision medicine, law and AI, digital archaeology, and heritage studies.

Eligibility highlights include a master’s degree in computer science or a related field, strong foundations in algorithms, linear algebra, and probability, and hands-on experience training deep neural networks. Interdisciplinary curiosity is especially welcome.

The admissions page also notes that for co-supervised projects, the primary supervisor must hold a habilitation degree, while non-habilitated researchers may act only as co-supervisors.

Funding is not clearly specified in the post. The supervisor guidance section mentions securing additional grant funding for future PhD students, so applicants should check project-specific funding arrangements carefully.

The recruitment page is for Admissions 2026/2027. The normalized deadline is set to 2026-08-01 based on the session timing provided in the instructions.

Applicants should review the official JCAI admissions page, identify a suitable supervisor or supervisor pair, and contact them with a research idea aligned to the listed themes.

Funding details

The post announces 5 PhD positions but does not specify stipend amount, tuition coverage, or whether the positions are fully funded. It mentions that applicants should secure additional grant funding for future PhD students in the supervisor guidance section, suggesting funding may depend on project/grant arrangements.

What's required

Applicants should have a master's degree in computer science or a related field. Strong foundations in algorithms, linear algebra, and probability are required, along with hands-on experience training deep neural networks. Interdisciplinary curiosity is especially welcome for the interdisciplinary track, where candidates may work across AI and another field represented at Jagiellonian University. For co-supervised projects, the primary supervisor must hold a habilitation degree; non-habilitated researchers may act only as co-supervisors.

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Professors

prof. dr hab.

University Name
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Poland

Research Interests

Artificial Intelligence

Law

Bioinformatic

Deep Learning

Physics

prof. dr hab.

University Name
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Poland

Research Interests

Artificial Intelligence

Medical Imaging

Mathematics

Computer Vision

Medical Science

dr hab., prof. UJ

University Name
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Poland

Research Interests

Medical Imaging

Statistics

Physics

Computer Science

Bioinformatic

dr hab., prof. UJ

University Name
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Poland

Research Interests

Transportation Engineering

Statistics

Multimodal Transportation

Traffic Management

Fleet Management

dr hab. inż., prof. UJ

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Poland

Research Interests

Medical Imaging

Artificial Intelligence

Archaeology

Biology

Machine Learning

prof. dr hab.

University Name
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Poland

Research Interests

Artificial Intelligence

Statistics

Bioinformatic

Archaeology

Medical Science

dr hab., prof. UJ

University Name
Country flag

Poland

Research Interests

Statistics

Artificial Intelligence

Machine Learning

Archaeology

Medical Science

prof. dr hab.

University Name
Country flag

Poland

Research Interests

Law

Artificial Intelligence

Archaeology

Mathematics

History

dr hab., prof. UJ

University Name
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Poland

Research Interests

Medical Imaging

Digital Art

Visual Communication

Physics

Machine Learning

dr hab., prof. UJ

University Name
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Poland

Research Interests

Statistics

Law

Mathematics

Biology

History

dr hab., prof. UJ

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Poland

Research Interests

Computational Linguistics

Artificial Intelligence

Machine Learning

Medical Science

Graphical Models

prof. dr hab.

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Poland

Research Interests

Computer Graphics

Cinematography

Fluid-structure Interaction

Computer Science

Stereoselective Synthesis

dr hab., prof. UJ

University Name
Country flag

Poland

Research Interests

Artificial Intelligence

Medical Imaging

Biology

Mathematics

History