COMPUTATIONAL CHEMIST ENGINEER HF

Job description

ALLEMAGNE(FRANCKFORT)
du01 janvier 2021au01 janvier 2022(pour12mois)
ETABLISSEMENT :L'AIR LIQUIDE SA
REMUNERATION MENSUELLE :1969€ (indemnité non contractuelle fixée par décret et arrêté, dont le montant peut varier notamment en
fonction de l’évolution du barème de référence, de la localisation de la mission et des cas d’abattements prévus par les textes)

The R&D Center in Frankfurt is one of Air Liquide’s eight R&D Centers worldwide. With the target of contributing to the energy transition, it concentrates on the hydrogen/syngas production with low CO2 emission and carbon management, where sustainability and computational solutions constitute more transversal fields of activity.

We concentrate on innovative methods for the generation and application of industrial gases, where our special strength is the scale-up of results from numerous pilot plants to large scale and in close collaboration with internal and external partners from industry and academia.

The task description for this VIE position will be part of an exploratory R&D project, where the project manager is based in Frankfurt and will be the main responsible for the mentoring of the candidate as a senior research engineer. Additionally, the core team for Computational Solutions is composed of two more research engineers. Given the transverse nature of the team, collaboration with many researchers from Process ∓ Chemical Engineering Group is also expected (especially those with direct involvement in related funded projects. Regular exchange and collaboration with the R&D Center in Paris is also anticipated, and the candidate is therefore expected to easily adapt and contribute to this international working environment.

Mission description
? Data acquisition and aggregation from pilot and commercial plants
? Exploratory data analysis with statistical and data science approaches
? Physical modeling of chemical processes (steady-state and dynamic) using commercial or custom simulation tools
? Data-driven modeling of chemical processes using machine learning methods
? Simulation-based surrogate modeling
? Predictive modeling via time-series analysis based on operational data
? Mathematical optimization of chemical processes based on physical and data-driven process models for problems related to
? Real-time process optimization (operational excellence)
? Technology development (process design)
? Implementation of advanced process control strategies for pilot and commercial plants
? Data-driven dynamic modeling and system identification
? Model predictive control
? Communication with internal and external collaboration partners for the development and deployment of computational solutions in a product-oriented mindset

Candidate profile

? Fundamentals of chemical process engineering
? Expertise in modeling, data science, and process control
? Competency in simulation tools (e.g. Aspen Plus, gPROMS)
? Competency in programming languages (e.g. Matlab, Python)

Fields of study :
? Chemical process engineering
? Computational science

Expected work experience :
? Excellent academic record
? Relevant industrial internships in process modeling and data analytics domain in an international environment

Interpersonal skills required

? You are self-motivated, self-aware and taking initiatives
? You behave like an owner, but you also know your limits
? You are curious, quality-oriented, creative, cooperative with good communication skills
Languages required
? English (German helpful but not required)

Additional information
? We offer personal training on-the-job and an international environment of the world’s largest industrial gas company.