Student Process and Control Modelling & Simulation

Job summary

This role involves supporting process and control modelling and simulation within a cross-disciplinary team. The student will help transform real process data into simulation models and insights, contributing to the development of digital twin solutions in the pharmaceutical engineering sector.

Qualifications

• Currently enrolled in a Master of Science program at a Danish University, preferably in Chemical Engineering, Process Engineering, or Autonomous Systems.
• Experience or coursework in process and/or process control modelling and simulation is preferred.
• Strong interest in process control and digital twins.
• Fluent in written and spoken English.

Responsibilities

• Collaborate with colleagues and specialists to understand data needs and deliver data analytics and visualizations.
• Utilize advanced analytical methods and tools for process modelling and simulation.
• Participate in developing dashboards and analytical reports.
• Contribute to improving data visualization and actionable insights.
• Support modelling and simulation activities for API facilities.

Skills

• Proficient in modelling, simulation, and data science tools.
• Strong problem-solving and structured working approach.
• Effective collaboration in team settings.

Education

• Must be within the first year of a Master of Science program.

Tools

• Experience with INOSIM, DWSim, MATLAB, Python, Aspen, or similar tools is a strong plus.