Discipline: Physical Culture Sciences
1) Title of project: Determining functional asymmetry indicators using surface electromyography and Motion Capture System in athletes from different sports disciplines.
Supervisor: dr hab. Mariusz Konieczny
Brief description of work to do within the project: In professional sports, the assessment of musculoskeletal overload is one of the key elements influencing athletic performance. An interesting research issue is the phenomenon of functional asymmetry occurring in sports disciplines where the specificity of movement is associated with asymmetrical loads. The aim of the study is to evaluate the extent of this phenomenon, its impact on professional training processes, and the role of various factors contributing to its occurrence. Functional asymmetry is associated with a predisposition to selective overload of soft tissues, the development of localized muscle fatigue, and an increased risk of health problems, including injuries.
2) Title of project: Adaptive mechanisms of skeletal muscles in response to selected forms of physical training
Supervisor: dr hab. Paweł Pakosz
Brief description of work to do within the project: The research project focuses on analyzing the adaptive changes in skeletal muscles in response to different forms of physical training. The study will include an objective assessment of muscle bioelectrical activity (EMG), fatigue analysis, movement pattern analysis, and muscle efficiency evaluation. A non-invasive research tool – surface electromyography (sEMG) – will be used. The project aims to determine optimal training strategies that enhance performance and resistance to injuries. Another key aspect of the research will be comparing the effects of different training methods on muscle adaptation processes. This is a unique opportunity to engage in cutting-edge research on muscle efficiency and training, with practical applications in high-performance sports, physical activity, and injury prevention.
3)Title of project: Diagnosis and imaging of the “referred pain” phenomenon using surface electromyography in myofascial pain syndrome among athletes from different sports disciplines.
Supervisor: dr hab. Mariusz Konieczny
Brief description of work to do within the project: The aim of this project is to acquire new knowledge and skills in diagnosing myofascial pain syndrome (MPS), supplemented by the analysis of surface electromyography (sEMG), a novel diagnostic method developed by a team of Polish specialists – the SP test. This type of pain most frequently occurs in athletes; however, determining its exact source has remained a diagnostic challenge. By combining diagnostic tools, this study may contribute to faster identification of the pain location and more effective application of recovery and rehabilitation strategies.
4) Title of project: Assessment of Body Composition and Its Impact on Health Parameters
Supervisor: Paweł Pakosz
Brief description of work to do within the project: The research project focuses on evaluating body composition and its significance for key aspects of health. The study will involve an objective analysis of body components, including muscle mass, fat tissue, and hydration levels, using advanced measurement methods such as bioelectrical impedance analysis (BIA). The primary goal of the project is to identify optimal body composition ratios among different groups, including athletes, physically active individuals, and those leading a sedentary lifestyle. An essential aspect of the study will also be assessing the effects of selected training and dietary strategies on body composition changes. Participation in this project presents a unique opportunity to engage in cutting-edge research on the body's adaptation to lifestyle factors, with practical applications in elite sports, recreation, and health prevention
5) Title of project: Sleep Quality as a Determinant of Recovery and Physical Performance in Active Individuals
Supervisor: dr hab. Paweł Pakosz
Brief description of work to do within the project: The research project focuses on analyzing sleep quality and its impact on recovery processes and physical performance. The study will include both subjective assessments (questionnaires) and objective measurements (e.g., sleep monitoring devices) of sleep parameters. An important aspect of the project will be examining the relationship between sleep quality, muscle fatigue, recovery status, and exercise capacity. The main goal is to identify key factors influencing sleep quality and to develop strategies supporting optimal recovery in athletes and physically active individuals. The project may also explore the effects of lifestyle factors, training load, and stress on sleep quality. Participation in this research provides an opportunity to work with modern monitoring tools and to develop skills in integrating physiological and behavioral data. The results may have practical applications in training optimization, prevention of overtraining, and overall health and well-being improvement.
Discipline: economics and finance
1) Supervisor: Sabina Kubiciel-Lodzińska
Title of project: Untapped intellectual capital of migrants in Poland – scale, determinants and economic consequences.
Brief description of work to do within the project: The topic of the doctoral dissertation could be an analysis of the phenomenon of untapped intellectual capital of migrants in the Polish labour market. The work could focus on identifying the extent to which migrants' qualifications do not match the work they perform and on determining the sectors of the economy in which this phenomenon occurs most frequently. An important element of the research would be an analysis of the institutional, organisational and social determinants that influence the limited use of migrants' competences. The thesis could also examine companies' strategies for diversity management and the integration of employees with migration experience. An important aspect would be to assess the economic consequences of untapped intellectual capital, both for organisations and for the economy of the host country. The results of the research could contribute to the formulation of recommendations for migration policy, the labour market and management practices in companies.
Discipilne: mechanical engineering
Title of project: AI-Driven Framework of Metal Additive Manufacturing Process Parameters for Enhanced Mechanical and Tribological Performance
Supervisor: Dr. hab. Munish Kumar Gupta
Brief description of work to do within the project: This doctoral project aims to develop an integrated, physics-informed, data-driven framework for optimizing the mechanical and tribological performance of metal additive manufacturing components. Experimental fabrication will be carried out using advanced powder-bed or directed-energy deposition systems, with systematic variation of major process parameters, including laser power, scan speed, hatch spacing, and layer thickness. Comprehensive post-processing characterization will be conducted using SEM, XRD, EBSD, tensile and fatigue testing, microhardness mapping, and tribological wear evaluation to establish quantitative process–structure–property relationships. In parallel, multi-physics modelling will be employed to understand thermal gradients, residual stress development, and microstructural evolution during rapid solidification. Supervised machine learning models, including Random Forests and Artificial Neural Networks, will be trained on the experimental dataset to develop predictive tools. Feature engineering and cross-validation strategies will ensure robustness and generalizability of the model. Finally, optimization algorithms such as genetic algorithms will be integrated to identify optimal parameter windows for enhanced strength and wear resistance. The outcome will be a predictive hybrid modelling platform enabling reliable, performance-driven parameter optimization for industrial metal AM applications.
Discipline: Health sciences
1) Title of project: Association between polymorphisms in muscle metabolism-related genes and protein intake with the risk of sarcopenia in older adults.
Supervisor: Dr. Edyta Majorczyk
Brief description of work to do within the project: The aim of the project is to assess the association between polymorphisms in the ACTN3, MSTN, and IGF-1 genes and the risk of sarcopenia in older adults, taking into account protein intake. It is assumed that genetic predispositions may influence the loss of muscle mass and strength, while appropriate nutrition may modulate this effect. Dietary habits and protein intake will be evaluated using dietary interviews, a Food Frequency Questionnaire (FFQ), and dietary records. Body composition will be assessed using bioelectrical impedance analysis (BIA), and muscle strength will be evaluated using handgrip strength and the chair stand test. Biological samples will be collected from participants for genotyping of selected polymorphisms (rs1815739, rs1805086, rs35767). Subsequently, associations between genotype, muscle status, and diet will be analyzed. The results will help determine whether specific genetic variants increase the risk of sarcopenia and whether adequate protein intake may have a protective effect.
2) Title of project: “The impact of hormonal fluctuations during the menstrual cycle on neuromuscular response and PAPE effectiveness following submaximal exercise: the role of recovery supported by thermotherapy and infrared radiation.”
Supervisor: dr hab. Izabela Spielvogel
Brief description of work to do within the project: Despite growing interest in the specificity of female exercise physiology, existing studies indicate an ambiguous effect of menstrual cycle phases on strength capacity and muscle power output. At the same time, increasing evidence suggests that hormonal fluctuations may modulate fatigue and recovery processes more strongly than exercise performance itself. However, the scientific literature lacks studies integrating the influence of the menstrual cycle with the PAPE effect and modern recovery-support strategies such as thermotherapy and infrared radiation.
This study is designed as an experimental investigation involving women train with regular menstrual cycles, in whom cycle phases will be verified based on hormonal assays (estradiol, progesterone) and physiological parameters. Participants will undergo an exercise protocol designed to induce the PAPE effect, based on submaximal loads. Neuromuscular response will be assessed through measurements of power and force (e.g., countermovement jump, movement velocity analysis), electromyographic activity (EMG), and muscle oxygenation using near-infrared spectroscopy (NIRS).
To determine the effects of recovery strategies, interventions including local thermotherapy and exposure to infrared radiation will be applied. Their effects will be analyzed in the context of changes in performance, fatigue, and recovery rate across different phases of the menstrual cycle.
It is hypothesized that both PAPE effectiveness and recovery processes are modulated by menstrual cycle phase, and that thermal stimuli may partially compensate for differences resulting from hormonal fluctuations. The findings may contribute to a better understanding of mechanisms regulating female exercise capacity and provide a basis for developing more individualized training and recovery strategies that account for the menstrual cycle.
This work makes a significant contribution to the development of health science and exercise physiology by addressing current research gaps and providing data of high practical relevance.
3) Title of project: The role of women and their contribution to the development of the Polish rehabilitation standard in the years 1918-1970
Supervisor: dr hab. Mariusz Migała, prof. PO
Brief description of work to do within the project: The aim of this research is to reveal the largely unknown and underappreciated contribution of women to the development of rehabilitation in Poland, from the interwar period (1918-1939) until 1970, when the Polish rehabilitation standard became a permanent part of the healthcare system. An in-depth analysis and understanding of women's influence and contributions to the development of this field of healthcare aims to demonstrate their role in creating and developing new rehabilitation methods and techniques, analyzing both their professional and social activities. By analyzing the biographies and achievements of selected women involved in the development of rehabilitation, and analyzing the social and medical context of the time, the end result is to provide a comprehensive picture of their influence on the development of rehabilitation in a European context and to clarify its significance for patient health and rehabilitation.
Discipline: Information and communication technology
1) Supervisor: dr hab. Zofia Kostrzycka, prof. ucz.
Title of project: Asymptotic properties of fuzzy logic
The main tool is generating functions, and the main topic is the so-called truth density in fuzzy logics. Two important fuzzy logics are the multi-valued Łukasiewicz logic and the multi-valued Dummett logic. If we limit ourselves to finite-valued logics, both are characterized by logical matrices. Using algebraic characterization, we investigate the asymptotic density of different classes of formulas and then compare the corresponding classes of corresponding logics.
2) Supervisor: dr hab. inż. Michał Tomaszewski, prof. ucz.
Title of project: Multimodal Artificial Intelligence for Early Disease Pattern Recognition: Identification of Selected Medical Conditions from Integrated Audio-Visual and Physiological Data.
The aim of this thesis is to investigate how multimodal artificial intelligence methods can be used to identify behavioral, emotional, and clinical patterns that may indicate specific medical conditions. The research focuses on integrating heterogeneous data sources such as facial expressions from video recordings, speech characteristics from audio signals, textual transcriptions of speech, and physiological measurements including heart rate variability, electrodermal activity, or wearable sensor data. Such multimodal signals can provide valuable information about emotional states and behavioral changes associated with certain neurological or psychiatric conditions. Potential application areas include the detection or monitoring of disorders such as depression, anxiety disorders, Parkinson’s disease, autism spectrum disorders, or cognitive decline. In the experimental part of the thesis, machine learning or deep learning models will be developed to combine multiple modalities and identify relevant patterns. The study may involve publicly available datasets or experimentally collected multimodal recordings. Model performance will be evaluated using standard classification and pattern recognition metrics. The results may contribute to the development of intelligent decision-support systems for healthcare and early disease detection.
3) Supervisor: dr hab. inż. Michał Tomaszewski, prof. ucz.
Title of project: Artificial Intelligence Approaches for Automated Analysis and Classification of Medical Wounds Using Image-Based and Clinical Data.
This thesis focuses on the application of artificial intelligence techniques for the analysis and classification of different types of medical wounds. The study will explore how machine learning and computer vision methods can support clinical assessment and monitoring of wound healing. The research may involve the analysis of medical images such as photographs of wounds, dermoscopic images, or clinical imaging data combined with descriptive patient information. Example cases may include diabetic foot ulcers, pressure ulcers, surgical wounds, burns, and traumatic injuries. The practical component of the thesis will involve building and evaluating models capable of detecting wound characteristics such as size, tissue type, inflammation indicators, or healing stage. Additional contextual data such as patient age, comorbidities, treatment methods, or time-series observations of wound progression may also be incorporated. The effectiveness of the developed approaches will be assessed using appropriate evaluation metrics for classification or segmentation tasks. The outcomes of the research may contribute to the development of clinical decision-support tools and automated systems for wound monitoring in healthcare settings.
Discipline: Civil engineering, geodesy and transport
1) Title of project: Response of a soil-steel bridge to excitation caused by the passage of a fast train
Supervisor: prof. dr hab. inż. Damian BĘBEN
Brief description of work to do within the project (5-10 sentences):
Literature review in the field of bridge dynamics.
Implementation of FEM computational models of soil-steel bridge.
Implementation/validation of experimental tests of a bridge under dynamic load (train passages).
2) Title of project: Experimental and numerical studies on a thin-walled arch bridge structure made of ultra-high-performance concrete
Supervisor: prof. dr hab. inż. Damian BĘBEN
Auxiliary Supervisor: dr inż. Arkadiusz MORDAK
Brief description of work to do within the project (5-10 sentences):
Review of literature in the field of ultra-high-performance concrete and arch bridges.
Performing material tests of ultra-high-performance concrete.
Performing FEM computational models.
Performing experimental tests of arch bridge models.
3) Title of project: Analysis of the possibilities of using foamglass aggregate for the construction of soil-steel bridges
Supervisor: prof. dr hab. inż. Damian BĘBEN
Brief description of work to do within the project (5-10 sentences):
Literature review in the field of soil-steel bridges/culverts.
Performing tests of the properties of foamglass aggregate.
Performing FEM calculation models.
Performing experimental tests on a bridge/culvert model using foamglass aggregate.
4) Title of project: Computational Parametric Investigation of Thermal Insulation Effectiveness in Chimney Systems Related to Fire Safety
Supervisor: prof. dr hab. inż. Damian BĘBEN
Auxiliary Supervisor: dr inż. Krzysztof DROŻDŻOL
Brief description of work to do within the project (5-10 sentences):
Literature review in the field of chimney systems.
Selection of research tools (research programming).
Determination of boundary conditions.
Creation of CFD models and calculations.
Performance of experimental tests of selected chimney systems in order to validate the CFD model.
Assessment of the fire safety of wooden elements in the vicinity of the chimney flue.
5) Title of project: Research on the use of load-relieving/strengthening elements in soil-steel bridges
Supervisor: prof. dr hab. inż. Damian BĘBEN
Brief description of work to do within the project (5-10 sentences):
Literature review of soil-steel bridges/culverts.
Literature review of possible load-relieving/strengthening materials.
Development of FEM computational models of soil-steel bridges with various load-relieving material variants.
Validation/experimental testing of soil-steel bridges/culverts with load-relieving/strengthening elements.
6) Title of project: Rotation rate measurements in the parameter identification of complex structures
Supervisor: dr hab. inż. Piotr BOŃKOWSKI
Brief description of work to do within the project (5-10 sentences):
The aim of the project is to analyse potential advantages and restrictions of the rotation rate measurements for the state identification of complex civil engineering structures. The planned tasks are:
- Analyse literature in the area of the project.
- Numerical simulation of the state identification using MATLAB, Abaqus or similar environment.
- Project and execution of experimental verification of state identification of complex structures in a laboratory scale.
Scientific discipline: Architecture and Urban Planning
1) Topic: The estetich of sustainability. The architectural language in Molysmocene
Supervisor: Luca Trabattoni
Short description of the work: The research focuses on the role of sustainability within the design and aesthetic process of architecture. Sustainability, as an expression of technique and technology, can have different declinations. The research aims to investigate the technical and formal connections between sustainability and architectural language in relation to efficiency, materials, innovation and aesthetics.
2) Topic: European Informal settlements
Supervisor: Luca Trabattoni
Short description of the work: Informal settlements are increasingly emerging across Europe, often linked to housing shortages, migration, and socio-economic marginalization. This doctoral research examines their spatial, social, and governance dynamics within European urban and peri-urban contexts. The study explores how informal housing practices challenge conventional planning systems and regulatory frameworks. Through comparative case studies, it investigates the relationships between informality, access to housing, and urban inequality. The research ultimately aims to inform more inclusive and adaptive planning approaches capable of addressing housing precarity in contemporary European cities.