معرفی
David Jobst is a Researcher at the Institute for Mathematics and Applied Informatics within the Faculty of Mathematics, Natural Sciences, Economics and Computer Science at the University of Hildesheim, where he has been employed since August 2020. He teaches undergraduate mathematics courses including Introduction to Analysis, Stochastics, and Advanced Seminars on Series and Infinite Products.
Dr. Jobst holds multiple degrees from the Technical University of Munich: a Master of Education and First State Examination in Mathematics and Sports Education (2017-2020), a Bachelor of Science in Mathematics with a minor in Electrical and Information Technology (2015-2019), and a Bachelor of Education in Mathematics and Sports Education (2014-2017).
His research focuses on advanced statistical methods for weather forecasting, specializing in distributional regression, copula modeling (particularly Vine Copulas), and probabilistic weather prediction. He develops innovative approaches to postprocess ensemble weather forecasts using machine learning techniques, with particular attention to spatio-temporal dependencies in meteorological data.
Jobst's publication record demonstrates a clear progression in developing sophisticated statistical frameworks for weather forecast postprocessing, moving from traditional methods like Ensemble Model Output Statistics (EMOS) to advanced machine learning approaches including gradient-boosted models and vine copula structures. His work bridges theoretical statistics with practical meteorological applications, addressing challenges in temperature, wind speed, and cloud cover forecasting.
While no specific awards are documented in the available materials, his research has been presented at numerous international conferences including the European Geosciences Union General Assembly, CMStatistics conferences, and specialized workshops on ensemble postprocessing across Europe.
As a university researcher, Jobst participates in academic service through conference organization and peer review activities. His consultation hours are conducted via virtual meeting platforms, reflecting modern academic practices. He maintains a private academic website (jobstdavid.org) where additional research materials and contact information are available.
