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Associate Professor


Sector
Professor
Contract
Direct hire


Job Location

6708PB WAGENINGEN , Veluwe - Netherlands (Netherlands)

Job Description

Associate Professor of Statistics Are you passionate about developing the next generation of statistical methods for an increasingly data-rich world? Do you thrive at the intersection of theory, methodology, and impactful applications? Deadline 30 Sep '26 Published today Vacancy ID days remaining Save Research fields Mathematics Job types Associate professor Education level Doctorate Weekly hours 32-38 hours per week Salary indication €6512-€7904 per month Location Droevendaalsesteeg 1, 6708PB, Wageningen Job description Are you passionate about developing the next generation of statistical methods for an increasingly data-rich world? Do you thrive at the intersection of theory, methodology, and impactful applications? We invite applications for an Associate Professor in Statistics to join our vibrant and internationally recognized research environment at the Mathematical & Statistical Methods group of Wageningen University & Research (also known as Biometris). Modern science, technology, and society generate data at unprecedented scale and complexity. From genomics and environmental systems to artificial intelligence and digital health, researchers are confronted with high-dimensional data that challenge traditional statistical approaches. To address these challenges, we seek an ambitious scholar with expertise in-or a strong affinity with- Bayesian Statistics , who is eager to contribute to our overarching research programme in high-dimensional statistics . As Associate Professor, you will play a leading role in advancing innovative statistical methodology for complex, large-scale, and structured data stemming from the Life Sciences. We welcome candidates whose research combines methodological rigor with practical relevance, and who are interested in developing novel approaches for uncertainty quantification, large-scale prediction, model-based learning, causal inference, network learning, or relate...


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