Admissions for 2026/2027 is now open!
Detailed information is available on the website: https://science.phd.uj.edu.pl/join/jcai
Please fill out the form if you are conducting research in the field of AI at Jagiellonian University and would like to join the list of potential supervisors below.: https://forms.office.com/e/zt4Um8akvE
Note: Individuals who do not hold a habilitation degree may only act as a co-supervisor. The primary supervisor must hold a habilitation degree (dr hab. or prof. dr hab.).
prof. dr hab. Piotr Białas
- mathematical physics, quantum field theory, GPU computing, machine learning, Bayesian data analysis
- https://zzmo.iis.uj.edu.pl/piotr-bialas
prof. dr hab. Monika Brzychczy-Włoch
- microbiology, antimicrobial resistance, hospital infections, molecular diagnostics, AI-assisted microbial diagnostics
- https://zmmm.wl.cm.uj.edu.pl/monika-brzychczy-wloch
dr Tomasz Danel (AI)
- computer-aided drug design, pharmacoinformatics, geometric deep learning
- https://scholar.google.com/citations?user=WZq_OCsAAAAJ
dr Jarek Duda (AI)
- information theory, machine learning, bioinformatics, algorithm complexity, graph theory, physics
- http://th.if.uj.edu.pl/~dudaj/
dr hab. Jadwiga Kita-Huber, prof. UJ
- German literature, poetics and aesthetics, epistolary culture (18th/19th c.), digital editing, literary translation, Paul Celan, Jean Paul
- https://ifg.filg.uj.edu.pl/instytut/pracownicy/kita-huber-jadwiga
dr Kamil Książek (AI)
- deep learning, hyperspectral imaging, continual learning, biomedical applications of machine learning
- https://scholar.google.com/citations?user=i0N4lY8AAAAJ
dr hab. Rafał Kucharski, prof. UJ (AI)
- urban mobility and transport systems, social systems, network science, agent-based models
- https://www.rafalkucharskilab.pl/
dr hab. inż. Paweł Łabaj, prof. UJ
- bioinformatics, transcriptomics, metagenomics, data science, precision medicine
- https://scholar.google.pl/citations?user=al6BDt8AAAAJ
dr hab. Marcin Mazur (AI)
- generative models, continual learning
- https://scholar.google.com/citations?user=HP_2sDgAAAAJ
prof. dr hab. Aleksander Mendyk
- pharmacokinetics, pharmaceutical technology, artificial intelligence in pharmacy, computational intelligence, dosage form design
- https://farmacja.cm.uj.edu.pl/en/departments/chair-of-pharmaceutical-technology-and-biopharmaceutics/
dr Krzysztof Misztal (AI)
- image processing, biometrics methods
- https://scholar.google.com/citations?user=lu8uGHEAAAAJ&hl=pl&oi=ao
dr Przemysław Pałka
- private law, consumer law, data law, law and AI, online platforms, methodology of legal scholarship
- https://przemyslaw.technology/
dr hab. Radosław Palonka, prof. UJ
- archaeology of the American Southwest, Pueblo culture, rock art, digital archaeology, heritage studies
- https://archeo.uj.edu.pl/dr-radoslaw-palonka
dr Szymon Płotka (AI)
- medical image analysis, computer vision
- https://scholar.google.com/citations?user=g9sWRN0AAAAJ
prof. dr hab. Igor T. Podolak (AI)
- hierarchical classification, deep learning, learning theory
- https://scholar.google.com/citations?user=30LH850AAAAJ
dr Dawid Rymarczyk (AI)
- computer vision, medical imaging, interpretability of neural networks
- https://scholar.google.com/citations?user=QLAFuXYAAAAJ
dr hab. Przemysław Spurek, prof. UJ (AI)
- compression theory, clustering methods, generative models, continual learning
- https://scholar.google.com/citations?user=0kp0MbgAAAAJ&hl=pl&oi=ao
dr hab. Łukasz Struski, prof. UJ (AI)
- machine learning, deep learning
- https://scholar.google.com/citations?user=_lWKf3UAAAAJ
dr hab. Marek Śmieja, prof. UJ (AI)
- clustering methods, entropy theory, semi-supervised learning
- https://mareksmieja.github.io/
prof. dr hab. Jacek Tabor (AI)
- clustering methods, information theory, entropy based classification
- https://scholar.google.com/citations?user=zSKYziUAAAAJ&hl=pl&oi=ao
dr Adam Trybus (AI)
- LLM reasoning, rule-based AI, philosophy of AI, knowledge representation and reasoning
- https://iphils.uj.edu.pl/~a.trybus/
dr hab. Bartosz Zieliński, prof. UJ (AI)
- computer vision, deep learning, interpretable machine learning, medical image analysis, embodied artificial intelligence
- https://bartoszzielinski.github.io/