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Internship / Thesis - Process Simulation(m/w/x)
Building steady-state and dynamic process simulations for chemical technology decisions. Process simulation software and Python skills needed. Work packages with real impact, insight into sustainable chemical technologies.
Requirements
- Master's program enrollment (chemical engineering, process engineering, or similar)
- Mandatory internship as per study regulations
- Strong fundamentals in thermodynamics, reaction engineering/kinetics, and separations
- Hands-on experience with process simulation software (e.g. Aspen Plus/HYSYS, gPROMS)
- Python skills (NumPy, Pandas, plotting, basic automation)
- Analytical mindset, structured documentation, and strong task ownership
- Experience with dynamic simulation or model simplification
- Exposure to pilot-scale or scale-up topics
- Advanced AI skills (e.g., machine learning for parameter estimation, surrogate models, AI-based optimization, automated analysis of large simulation datasets)
- Curiosity to question models and assumptions
Tasks
- Build and run steady-state and/or dynamic process simulations
- Integrate and adapt kinetic sub-models
- Support early-stage technical assessments of process concepts
- Assist with CAPEX/OPEX estimations
- Document assumptions, calculation paths, and results clearly
- Develop programming tools or scripts for data handling
- Develop programming tools or scripts for analysis
- Develop programming tools or scripts for reporting
- Collaborate with engineering and lab teams
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Aspen Plus
- HYSYS
- gPROMS
- Python
- NumPy
- Pandas
Benefits
Mentorship & Coaching
- Close mentoring
Purpose-Driven Work
- Work packages with real impact
Startup Environment
- Hands-on engineering decisions
Modern Equipment
- Modern tools and structured methods
Sustainability Focus
- Insight into sustainable chemical technologies
Other Benefits
- Option for Master's thesis
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Internship / Thesis - Process Simulation(m/w/x)
Building steady-state and dynamic process simulations for chemical technology decisions. Process simulation software and Python skills needed. Work packages with real impact, insight into sustainable chemical technologies.
Requirements
- Master's program enrollment (chemical engineering, process engineering, or similar)
- Mandatory internship as per study regulations
- Strong fundamentals in thermodynamics, reaction engineering/kinetics, and separations
- Hands-on experience with process simulation software (e.g. Aspen Plus/HYSYS, gPROMS)
- Python skills (NumPy, Pandas, plotting, basic automation)
- Analytical mindset, structured documentation, and strong task ownership
- Experience with dynamic simulation or model simplification
- Exposure to pilot-scale or scale-up topics
- Advanced AI skills (e.g., machine learning for parameter estimation, surrogate models, AI-based optimization, automated analysis of large simulation datasets)
- Curiosity to question models and assumptions
Tasks
- Build and run steady-state and/or dynamic process simulations
- Integrate and adapt kinetic sub-models
- Support early-stage technical assessments of process concepts
- Assist with CAPEX/OPEX estimations
- Document assumptions, calculation paths, and results clearly
- Develop programming tools or scripts for data handling
- Develop programming tools or scripts for analysis
- Develop programming tools or scripts for reporting
- Collaborate with engineering and lab teams
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Aspen Plus
- HYSYS
- gPROMS
- Python
- NumPy
- Pandas
Benefits
Mentorship & Coaching
- Close mentoring
Purpose-Driven Work
- Work packages with real impact
Startup Environment
- Hands-on engineering decisions
Modern Equipment
- Modern tools and structured methods
Sustainability Focus
- Insight into sustainable chemical technologies
Other Benefits
- Option for Master's thesis
About the Company
C1 Green Chemicals AG
Industry
Manufacturing
Description
Das Unternehmen entwickelt bahnbrechende chemische Produktionsverfahren, indem es sie von der atomaren Ebene bis zum Produktionsmaßstab neu denkt und erforscht neue chemische Verfahren mit Hilfe quantenchemischer Simulationen.
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