topics of hydrometeorology and hydrology. Of particular interest is the development of quantitative precipitation forecasts based on machine/deep learning, as well as their evaluation including their impact on the prediction of pluvial flooding. The research team is open to other relevant research topics and encourages all qualified applicants to apply. Qualifications Ph.D. in Civil Engineering or related field prior to starting this position is required. Candidates from subsets of fields including hydrology, hydrometeorology, and water resources engineering are particularly encouraged to apply. Experience in processing and analyzing large data sets is required. Expertise in computer programming in Python or R is required. Application Deadline Open until filled

topics of hydrometeorology and hydrology. Of particular interest is the development of quantitative precipitation forecasts based on machine/deep learning, as well as their evaluation including their impact on the prediction of pluvial flooding. The research team is open to other relevant research topics and encourages all qualified applicants to apply. Qualifications Ph.D. in Civil Engineering or related field prior to starting this position is required. Candidates from subsets of fields including hydrology, hydrometeorology, and water resources engineering are particularly encouraged to apply. Experience in processing and analyzing large data sets is required. Expertise in computer programming in Python or R is required. Application Deadline Open until filled