RECRUITMENT LIMITS FOR THE DOCTORAL SCHOOL IN THE ACADEMIC YEAR 2024/2025

 

Proposed topics of doctoral dissertations 2024/2025

 

 

Recruitment for doctoral studies in cooperation with IDEAS NCBR

 

 

Research work offer for PhD students proposed by IDEAS NCBR

 

 

INFORMATION AND COMMUNICATION TECHNOLOGY

(cooperation with IDEAS)

NoTopicSupervisorInstitute
  Multi-Modal Continual Learning Szymon Łukasik NASK PIB



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



INFORMATION AND COMMUNICATION TECHNOLOGY

NoTopicSupervisorInstitute
  Applied cryptography and privacy protection Mirosław Kutyłowski NASK PIB
  AI-Driven Solutions for Early Pancreatic Cancer Diagnosis and Therapy Agnieszka Pręgowska  IPPT PAN
  Close-Range Remote Sensing for Tree Species Recognition using Ground-Based Images Janusz Będkowski 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
  Deep learning digital twin of a radiologist for evaluation of breast MRI Jan Mielniczuk IPI PAN
  Designing analytical pipeline for identification of epigenetic marks significantly affecting gene expression patterns in rheumatoid arthritis patients Michał Dąbrowski IPI PAN
  Detection of human psychological states and traits using AI, based on movement track-ing in immersive VR environments Cezary Biele OPI PIB
  Development and investigation of generator networks for virtual dynamic contrast-enhanced breast MRI Jan Mielniczuk IPI PAN
  Development of optimal lung ventilation minimizing the risk of Ventilator-Induced Lung Injury (VILI) Marek Darowski IBIB PAN
  Discovery of the source of gene expression variation in cell populations – analysis of the associations between epigenetic signals and the three-dimensional structure of chromatin Michał Dąbrowski IPI PAN
  Energy Packet Networks (EPN): Basic Limits in Performance and Security of Communication and Computing Systems that Operate with Energy Harvesting Erol Gelenbe IITiS PAN
  Fast and reliable data completion and augmentation with matrix and tensor methods Mariusz Kamola NASK 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
  Integrating Knowledge Engineering and Agent-Oriented Workflows to Enhance the Capabilities of Generative AI Models Mariusz Kamola NASK PIB
  Learning to rank for uplift modeling and heterogeneous treatment effect estimation Szymon Jaroszewicz IPI PAN
  Long-tail learning from incomplete data Jan Mielniczuk IPI PAN
  Multilingual discourse relations parsing Maciej Ogrodniczuk IPI PAN
  Optimization of text tokenization for deep learning Łukasz Dębowski IPI PAN
  Precise, accurate and robust simultaneous localisation and mapping for automating trees’ inventory Janusz Będkowski IPPT PAN
  Spiking neural network efficient structuring and training for cyberdefence applications Mariusz Kamola NASK PIB
  Stress testing the tradeoffs between resiliency, reliability and energy efficiency in low power long range wireless networks Krzysztof Grochla IITiS PAN
  Study on the behavior of third-generation neural network models in preventing DDoS attacks Grzegorz Borowik NASK PIB
  The analysis and modelling of energy storage systems for off-grid base stations Tadeusz Czachórski IITiS 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
  Trustworthy Federated Learning in Cloud-based Intelligent Transport Systems Joanna Kołodziej NASK PIB