Research Associate in Artificial Intelligence for Smart Water Cycles | Wissenschaftliche:r Mitarbeiter:in (m/w/d)

Job Summary

This full-time research position is based at the Technical University of Clausthal within the 'Machine Learned Models for Engineers' (ML4E) research group. The successful candidate will focus on developing innovative machine learning forecasting models for water management, specifically utilizing architectures like Transformers and Graph Neural Networks for flood early-warning systems. Day-to-day responsibilities include researching prediction models, designing and implementing software prototypes, and publishing findings at international conferences. Additionally, the role involves supporting academic teaching and supervising students. This position is particularly attractive for those seeking to pursue a PhD, offering a collaborative environment, flexible working hours with home office options, and the chance to see research results applied in industrial projects. The role is compensated according to the TV-L E 13 state salary scale and is initially limited to a duration of three years.