Process Software Modeling Engineer

Casale SA, leader en ingénierie chimique, recherche un Modeling Engineer. Rejoignez une équipe internationale engagée dans l'innovation et la durabilité.

Tâches

• Développer et maintenir des outils logiciels pour simuler des processus chimiques.

• Créer des applications intelligentes pour améliorer l'efficacité des workflows.

• Collaborer avec R&D pour concevoir des modèles analytiques avancés.

Compétences

• Diplôme en ingénierie chimique ou similaire, avec 3 ans d'expérience en modélisation.

• Solide compréhension de la cinétique des réactions en ingénierie chimique.

• Expérience avec des algorithmes numériques et programmation orientée objet.

Casale SA is a leading company specializing in the design and implementation of innovative plants for the production of green ammonia, ammonia, nitrates, phosphates, urea, methanol, melamine, and syngas. Committed to sustainability and cutting-edge technology, we strive to deliver high-quality solutions to our global clients.
As part of this vision, we are seeking a Modeling Engineer to join our Modeling team within our Digital Engineering Department. This role offers the opportunity to work in an international, detail-oriented, and passionate environment, contributing to the success of our projects.

In this role, you will play a critical part in the development and maintenance of advanced software tools used to simulate and optimize chemical processes. Your work will directly support the design, innovation, and continuous improvement of Casale’s proprietary technologies, contributing to cutting-edge solutions in the field of chemical engineering.

Main Tasks and Responsibilities:
You will use your modeling skills to create, improve, and maintain a large number of proprietary software tools used by Process Engineers in their design tasks. These tools include fully determinist and hybrid (AI + first principles) thermodynamic property packages, equilibrium and non-equilibrium models for unit operations such as columns, falling film evaporators, strippers, as well as reaction kinetics models and other dimensioning tools, applied to steady state and dynamic conditions. Tools that are part of Casale's proprietary technologies.
You will use your software programming expertise to develop user-friendly and intelligent desktop and web applications, supported by AI, aimed at improving efficiency, enhancing the design and robustness of Casale’s chemical processes and engineering divisions' workflows.
You will develop analytical tools for analyzing and forecasting plant data, and you will calibrate our models to accurately reproduce both laboratory and plant data. You will support the creation of new ideas and models in collaboration with the research and development division.
You will interact with the technological core of the company in a friendly environment, constantly seeking to improve your scientific knowledge and modeling skills.

Why Join Casale ?
? Global Impact: Work with a company at the forefront of sustainable industrial solutions.
? Cutting-Edge Technology: Engage with state-of-the-art engineering solutions and proprietary technologies.
? Sustainability Commitment: Contribute to innovative projects that support a greener future.

Education
Bachelor’s degree in chemical, mechanical, or nuclear engineering, with a minimum of 3 years of experience in process or power generation modeling; or a Master’s degree in the same fields with a strong focus on numerical modeling.

Skills
We are looking for a candidate with a solid understanding of reaction kinetics and experience in chemical process or power generation simulation. The ideal candidate should have hands-on experience with numerical algorithms (e.g., root-finding, optimization, solving nonlinear systems of equations) and be proficient in at least one object-oriented programming language (e.g., C++, C#, or Java). Additionally, the candidate should possess a good understanding of open-system thermodynamics, transport phenomena, and machine learning techniques.

Nice to have
For candidates who meet the essential skill requirements, experience in one or more of the following areas will be considered advantageous:
·       Solution of vapor-Liquid equilibrium problems
·       Heat and mass transfer across interfaces
·       Surrogate modelling / machine learning
·       Computational fluid dynamics
·       Knowledge of other programming languages (python)