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that the Department of Mathematics and Computer Science of the Eindhoven University of Technology is opening a PhD position in Statistics. We are looking for a motivated and enthusiastic candidate with a background in
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-design and a thorough statistical evaluation in field experiments. We will consider, among others, educational theories that focus on planning activities, such as goal-setting theory, feedback theories
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/continual learning with evolving data Job requirements Master’s degree in Mathematics, Statistics, Computer Science, or a related field Excellent analytical and mathematical skills Affinity with developing
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. Markov decision theory and dynamic programming) and applied probability (Bayesian statistics). Excellent coding skills (e.g., in Java, Python, Julia, MATLAB). A research-oriented attitude. Ability to be
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degree in Computer Science, Mathematics, or a closely related field. At least 5 years of study. Good statistical background and knowledge of probability theory Programming in Java or C/C++ English language
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microstructures mimicking real materials will be generated, which will then be compared on a statistical basis with the real microstructures. Company sponsor In association with the Materials innovation institute
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, wireless communications, and detection and estimation theory (statistical signal processing). Knowledge of radar signal processing and/or coding theory is desirable. Proficiency in English (written and
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through interviews with stakeholders, questionnaires, and surveys. For data analysis, they will have experience with qualitative data analysis of interviews and strong statistical skills to analyze survey
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, demonstrating emergent computational properties through the dynamics of coupled oscillators. The successful candidate will rigorously investigate the link between statistical physics, the theory of learning, and
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expertise in qualitative and quantitative research methods, including proficiency in conducting interviews, surveys, and statistical analysis. Proven ability to work effectively within interdisciplinary teams