Currently taught courses:

Ryszard is currently an Assistant Professor at Maastricht University’s Faculty of Psychology and Neuroscience, where he teaches within the innovative Problem-Based Learning (PBL) framework. PBL is a student-centered approach that begins with real-world problems rather than traditional lectures. In this format, students work together to tackle complex, open-ended issues, developing critical thinking, self-directed learning, and collaborative skills. Ryszard believes that PBL is a powerful way to not only grasp academic content but also to cultivate essential competencies for future careers—such as problem-solving, communication, and adaptability. In his courses, Ryszard strives to create an engaging and supportive environment where students are encouraged to think critically, collaborate effectively, and take ownership of their learning. 

Example courses:

• Brain functioning (MSc Neuropsychology) 

• Human neuroimaging (Research Master Neuropsychology)

• Programming (BSc Brain Science)

• Psychological perspectives (BSc Psychology)

• Scientific inquiry / critical thinking (BSc Psychology)

• Professional and life skills (BSc Psychology)

Previously taught courses:

In 2022-2024 Ryszard was a Visiting Professor at the Department of Education and Psychology at the Free University of Berlin, where he taught a diverse range of courses employing a blend of teaching methods. Ryszard integrated project-based learning, literature seminars, lectures, group projects, and practical tutorials to create a multifaceted learning experience for students. His commitment to high-quality teaching was recognized with the "Best Teaching Award" for two consecutive years.

Example courses:

• Probabilistic and statistical modelling (MSc Cognitive Neuroscience)

• Cognitive computational neuroscience (MSc Cognitive Neuroscience)

• Perception, attention, action, and cognitive control (MSc Cognitive Neuroscience)

• Neurocognitive methods and data analysis (MSc Cognitive Neuroscience)

• Programming (MSc Cognitive Neuroscience)

• Bayesian models of neurobehavioral data (Erasmus+ teaching exchange at Universidad Nacional Autónoma de México)

• Good research practice (MSc Cognitive Neuroscience)

• Empirical / experimental practice (BSc Psychology)

Until 2022,  Ryszard was on the faculty of the yearly course on Statistical Parametric Mapping (SPM) for M/EEG at University College London, with a specific focus on Dynamic causal modelling of evoked responses. He also organised several methods workshops in Hong Kong, with topics including SPM for fMRI; EEG analysis; and eyetracking analysis.