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Department / Section
Digital Engineering / Modeling
Place of Work
Full Time / Part Time
Full Time

Casale Sa, leader in chemical plant design (ammonia, urea, methanol, melamine, nitrates and phosphates), and operating on a worldwide basis is increasing its staff and is seeking  a Modeling Engineer.

The offered position is within the Digital Engineering Department - Modelling Section.
You will be part of an existing group and you will use your modelling skills to create, improve and maintain proprietary tools used by Process Engineers in their design tasks, including thermodynamic property packages and equilibrium and non-equilibrium vapor-liquid models for reactors, columns, falling film evaporators, solid dryers, etc. present in Casale proprietary technologies. 

You will manage customers' plant data within our internal data center. You will build plant models and perform simulation for data reconciliation purposes and model validation. You will create sophisticated analytical tools for the analysis and forecasting of plant data. You will closely collaborate with the chemical process and customer care departments.

You will use your software programming expertise to create user-friendly software, to improve engineering efficiency and robustness of Casale’s process division, and to support the creation of new ideas along with the research and development department.

You will be interacting with the technological core of the company in a friendly environment, seeking to constantly improve your scientific knowledge and modelling skills.


Master’s or PhD degree in any of the following fields: 

  • Chemical Engineering
  • Mechanical Engineering
  • Nuclear Engineering
  • Mathematical Engineering
  • Applied physics
Fluent English (mandatory), other languages are welcome (Italian, Spanish, French, German)

You have a strong technical background in:

  • Heat and mass transfer 
  • Transport phenomena
  • Thermodynamics
  • Vapor-Liquid equilibrium and reactions
  • Physical / numerical modeling 

Experience in following topics will be considered advantageous:

  • Data reconciliation
  • Time series forecasting - Big Data analysis
  • Model predictive control
  • Dynamic process simulation 
  • Surrogate modelling / Machine learning
  • Statistics
  • Rate-based modeling and reactive distillation

Sound knowledge on at least two programming languages listed below:

  • C# (or Vb.NET)
  • C++
  • Python
  • Any other object-oriented language

You enjoy learning software programming and are open to learn new languages and techniques.

You have a PhD or a minimum of 2 years of experience in a company. International experience is welcome.