PhD Student

PhD Student

Responsibilities:

  • 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.

Skills:

  • 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.

We Offer:

  • 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
  • Competitive salary

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