Research Associate in Automation Engineering / Computer Science | Wissenschaftliche*r Mitarbeiter*in Automatisierungstechnik / Informatik (26066)

Job Summary

This research-focused position at the University of Wuppertal involves developing and applying Machine Learning methods to analyze and predict industrial process data. Working within the 'EMPRO-Al' research project, the successful candidate will collaborate closely with an industrial partner to optimize aluminum electrolysis processes and reduce emissions. Day-to-day responsibilities include designing data-driven modules for process monitoring, conducting experiments, and evaluating scientific literature. The role offers a unique opportunity to bridge the gap between academic research and industrial application, presenting findings at international conferences and contributing to a significant environmental project. The position is ideal for candidates seeking to gain professional experience in a high-tech research environment while working toward scientific qualifications. Benefits include flexible working hours, home office options, and a collaborative international atmosphere within a dynamic campus university.