RECRUITMENT LIMITS FOR THE DOCTORAL SCHOOL IN THE ACADEMIC YEAR 2025/2026

 

Proposed topics of doctoral dissertations 2025/2026

 

 

Recruitment for doctoral studies in cooperation with IDEAS NCBR

 

 

Research work offer for PhD students proposed by IDEAS NCBR

 

 

BIOMEDICAL ENGINEERING AND MEDICAL SCIENCES

NoTopicSupervisorInstitute
  Development of DNA-based sensor for determination of autoinducers secreted by Pseudomonas aeruginosa Kamila Sadowska IBIB PAN
  Piezoelectric biodegradable scaffolds for chronic wound healing Paweł Sajkiewicz IPPT PAN
  Stimuli-responsive polymer hydrogels for the regeneration of post-infarction myocardium Paweł Sajkiewicz IPPT PAN
  Piezoelectric 3D Constructs for Cartilage Regeneration Dorota Kołbuk-Konieczny IPPT-PAN
  Polymeric scaffolds for anticancer therapies Dorota Kołbuk-Konieczny IPPT-PAN
  Injectable hydrogel-based nanofibrous scaffolds for tissue engineering

          Filippo Pierini           Paweł Nikielski

 IPPT PAN
  Reversibly deformable micro- and nanostructured materials for biomedical applications Filippo Pierini IPPT PAN
  Hybrid Drug Delivery Systems Based on Electrospun Nanofibers Tomasz Kowalczyk IPPT PAN



INFORMATION AND COMMUNICATION TECHNOLOGY

NoTopicSupervisorInstitute
  Applied cryptography and privacy protection Mirosław Kutyłowski Przemyslaw Kubiak NASK PIB
  AI-Driven Solutions for Early Pancreatic Cancer Diagnosis and Therapy Agnieszka Pręgowska  IPPT PAN
  Computationally efficient algorithm for large-scale structural topology optimization subject to stress constraints Bartłomiej Błachowski IPPT PAN
  Computer vision-based civil infrastructure monitoring using physics-based graphics models Bartłomiej Błachowski IPPT PAN
  Detection of human psychological states and traits using AI, based on movement track-ing in immersive VR environments Cezary Biele OPI PIB
  Formal methods for large-scale system dynamics. Between attractors, strategies, and quantum protocols (with help of AI)

Wojciech Jamroga   Andrzej Mizera    Wojciech Penczek  

IPI PAN NCBR IDEAS  / UW   IPI PAN
  Machine learning from incomplete heterogenous data Jan Mielniczuk IPI PAN
  Spotting and Analysing Manipulative Discourse: Propaganda, Disinformation and Other Manipulative Techniques in Polish Data Maciej Ogrodniczuk IPI PAN
  Optimization of text tokenization for deep learning  Łukasz Dębowski Aleksander Wawer IPI PAN
  Increase the precision, accuracy, and reliability of the SLAM algorithm by using the fusion of multiple information sources and deep learning Janusz Będkowski IPPT PAN
  Towards Semantic Measures of Information Content - Integrating LinkGraph with Seminstructured Textual Information Mieczysław Kłopotek IPI PAN
  Transmission efficiency and reliability in neural networks inspired by brain architectures. Information Theory and Machine Learning Approach Agnieszka Pręgowska, Janusz Szczepański IPPT PAN
  Resources for quantum computation Alexander Streltsov IPPT PAN
  Speed limits for quantum resource generation Alexander Streltsov IPPT PAN
  Performance evaluation of tradeoffs between resiliency, reliability and energy efficiency in low power long range wireless networks Krzysztof Grochla IITiS PAN
  Interpretability of Deep Reinforcements Learning Agents Przemysław Sekuła IITiS PAN
  Generative AI for Secure Breast MRI Data Exchange: Development, Validation, and Privacy Assurance Paweł Morawiecki IPI PAN
  Model Checking Parametric Timed Strategic Abilities

Wojciech Jamroga  Wojciech Penczek
Laure Petrucci

    IPI PAN     IPI PAN LIPN, CNRS Universite Sorbonne
  Magnetic anomaly-based navigation and control of unmanned systems: Development and implementation

      Dominik Pisarski       Rami Faraj

 IPPT PAN
  Learning Implicit Neural Representations for Early Detection of Neurodegenerative Diseases from Multimodal Clinical Signals Agnieszka Pręgowska IPPT PAN
  Detection of Manipulated Visual Content in the Context of Disinformation Using Deep Learning and Multimodal Analysis            Rafał Kozik            Ewelina Bartuzi-Trokielewicz NASK PIB
  Toward Safer and More Effective LLMs in Multilingual Contexts: Evaluations Across European Languages         Aldo Lipani          Wojciech Kusa

University College London NASK PIB
  Segment-Level Detection of Partially Synthesized Audio Deepfakes with Insight into Model Decisions       Piotr Szczuko        Ewelina Bartuzi-Trokielewicz Gdańsk University of Technology NASK PIB
  Toward Safer and More Effective Large Language Models in Mental Health Applications Szymon Łukasik Wojciech Kusa NASK PIB
  Training Dynamics and Knowledge Control in Foundation Models Szymon Łukasik Wojciech Kusa NASK PIB