Create a digital twin of the plating line electrolyte with its specific dosing consumption characteristics to enable, in combination with analysis of the actual production data, the prediction of the required electrolyte concentrations.
Master degree or Diploma in chemical engineering, electrical engineering, physics, (applied) mathematics or a related field
Experience in coding, e.g. in Python or equivalent scientific computing languages
Background in the setup of simulations of (electro)-chemical or thermo-mechanical systems
Interest in data science, machine learning and its relevant tools as Skikit learn, Tensorflow etc.
High level of professional advancement
Possibility to influence over various aspects of product development to achieve excellent results
Opportunity to join the team of strong professionals, whose work is effectively organized and efforts of each person will not go unnoticed
Modern confortable office in the city center
Paid annual leave for 26 days
Paid illness leave for 7 days per year without medical sick note
Possibility to attend free language courses (English/Deutsch)
Free health insurance