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candidate under the supervision of Dr Luca Ambrogioni. We carry out research at the frontier of generative modelling using concepts from statistical physics and neuroscience. For example, we have shown
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carry out research at the frontier of generative modelling using concepts from statistical physics and neuroscience. For example, we have shown that the phenomenon of symmetry breaking is central to
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neural mechanisms of how the brain addresses some of the most fundamental challenges: perceptual decision making, inference, learning, attention and probabilistic/statistical computation. Your research
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a strong quantitative background. You are enthusiastic about research and excel academically. You have excellent data analysis and statistics skills and are proficient in relevant programming
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Institute. The main focus of the group’s research programme is on combining approaches from experimental psychology, cognitive neuroscience (e.g. neuroimaging), computational modelling and statistical
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combining approaches from experimental psychology, cognitive neuroscience (e.g. neuroimaging), computational modelling and statistical modelling methods to study how impairments in neurobiological and
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statistical and/or process-explicit ecological modelling. You have experience with at least one common high-level programming language, such as R, Python, or Matlab. You are not afraid of data processing
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into explanatory quantitative studies, using existing large-scale survey data from Statistics Netherlands (CBS) using multilevel analysis to discern explanations and outcomes at the individual and organisational
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immediately before their date of recruitment (1 September 2024). You do not yet hold a doctoral degree. You have good knowledge of statistical methods. You have a good command of written and spoken English and
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for the topics of study: subjective experience, sensory processing and individual differences. You have experience with quantitative experimental design and statistical analysis. You have an affinity