Internship / Thesis - Process Simulation

Responsibilities

• Build and run
• steady‑state and/or dynamic process simulations
• Integrate and adapt
• kinetic sub‑models
• within existing simulation environments
• Support early‑stage
• technical assessments
• of process concepts
• Assist with
• CAPEX/OPEX estimations
• using existing templates and assumptions
• Document assumptions, calculation paths and results in a
• clear, reproducible way
• Develop small
• programming tools or scripts
• for data handling, analysis or reporting
• Collaborate closely with engineering and lab teams – your results will be used further

Requirements

• Bachelor´s or Master’s program
• (chemical engineering, process engineering or similar)
• as required by your study regulations
• Strong fundamentals in
• thermodynamics, reaction engineering/kinetics and separations
• Hands‑on experience with
• process simulation software

Python skills

• (NumPy, Pandas, plotting, basic automation)
• Analytical mindset, structured documentation and strong ownership of your tasks

Preferred

• or model simplification
• pilot‑scale or scale‑up topics

Your mission

Why do an internship with us?

You don’t want to run simulations just for slides – you want your work to influence real decisions? At C1 Green Chemicals, your models directly support process concepts that move from equations to pilot‑scale reality. What you build here has measurable impact on how sustainable chemical processes are designed.

About us

Cl Green Chemicals AG develops and scales new chemical processes from lab to pilot scale. Our teams span catalysis, synthesis, engineering and technical operations. Simulation plays a key role in deciding which technologies are built, tested and scaled – not as theory, but as a practical engineering tool.

Must‑haves

Enrolled in a

Mandatory internship

(e.g. Aspen Plus/HYSYS, gPROMS)

Experience with

• dynamic simulation
• Exposure to

Advanced AI skills

• , e.g. machine learning for parameter estimation, surrogate models, AI‑based optimization or automated analysis of large simulation datasets
• Curiosity to question models and assumptions, not just run them

What we offer

• Close mentoring and clearly defined work packages with real impact
• Hands‑on work on actual engineering decisions, not academic exercises
• Modern tools and structured methods at the interface of simulation and engineering
• Insight into building sustainable chemical technologies up to pilot scale
• Option to continue with a
• Master’s thesis, if it’s a good fit