Job Opportunities API

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 related areas. Experience with Bayesian methods, whether theoretical, computational, or applied, will be considered a strong asset. You will join a collaborative community of statisticians, data scientists, and domain experts who share a commitment to addressing fundamental scientific questions through cutting-edge quantitative methods. The successful candidate is expected to develop an internationally visible research programme, attract competitive research funding, and build interdisciplinary collaborations across Life Science application domains. Beyond research, you will contribute to inspiring and innovative teaching in statistics and data science. You will mentor Bachelor’s, Master’s, and PhD students, and help to shape the next generation of quantitative scientists. We value educators who can communicate complex statistical concepts with clarity and enthusiasm, and who are committed to fostering an inclusive and stimulating learning environment. We are looking for a candidate with a strong publication record, demonstrated scientific leadership, and the ability to connect methodological innovation with real-world challenges. This position offers a unique opportunity to influence the future direction of statistical research within a dynamic academic environment. You will benefit from excellent research infrastructure, access to interdisciplinary collaborations, and a supportive atmosphere that encourages creativity, ambition, and scientific excellence. Moreover, within the Academic Career Framework, you will have the opportunity to grow into a full Personal Professor. Your duties and responsibilities include: • advancing innovative statistical methodology for complex, large-scale, and structured data stemming from the Life Sciences; • develop an internationally visible research programme; • attract competitive research funding; • build interdisciplinary collaborations across Life Science application domains; • coordinate and contribute to inspiring and innovative teaching in statistics and data science. This position is part of the Academic Career Framework (ACF) at Wageningen University & Research. One of the 3 career paths is the Professor Career Path. The aim of this ACF is to achieve a new balance in recognising and valuing academics where both team collaboration and the unique talent of individual scientists are seen, by creating more differentiation in career paths, putting the emphasis on the quality of work and less on quantitative results, doing justice to the individual qualities and ambitions of academics as much as to team performance, promoting all aspects of open science and encouraging high-quality leadership in the academy. You will work here The research is embedded within the chair group Mathematical & Statistical Methods - Biometris , in particular the Statistics chair, which is led by prof.dr. Carel F.W. Peeters . Your educational development will be co-supervised by ir. Saskia Burgers . In this challenging career trajectory: • you acquire, lead and implement innovative and creative (inter-)national research projects in Statistics; • you collaborate with colleagues and supervise PhD students, BSc and MSc theses and you develop and teach courses; • you contribute to the further development of the Mathematical & Statistical Methods group.