Senior Engineer - Catalyst Kinetics Modeling - Union, NJ

BASF Catalysts•Union, NJ

1d•$115,000 - $145,000•Onsite

About The Position

Leveraging its deep expertise as the global leader in catalysis and precious metals, BASF Environmental Catalyst and Metal Solutions (ECMS) serves customers in many industries including automotive, aerospace, indoor air quality, semiconductors and hydrogen economy, and provides full loop services with its precious metals trading and recycling offering. With a focus on circular solutions and sustainability, ECMS is committed to helping our customers create a cleaner, more sustainable world. Protecting our elements of life is our purpose and this inspires us to ever-new solutions. ECMS operates globally in 15 countries with approximately 20 production sites and over 4,000 employees. As a Senior Engineer – Catalyst Kinetics Modeling, you will LEAD by………. The Senior Engineer – Catalyst Kinetic Modeling is a critical part of the Global Modeling team, which develops in-house proprietary 1D simulation software, derive global catalyst reaction kinetics models, and conduct modeling and simulation for internal and external customers in the field of exhaust emissions control for a variety of catalytically reactive systems or components, including but not limited to DOC, CSF, SCR, AMOX, TWC, PN/PM filters.

Requirements

MS plus 5-years, or PhD plus 3-years, in Chemical Engineering or a related discipline, with thesis or research focused on heterogeneous catalysis, reaction kinetics, or chemical reaction engineering required
Demonstrated knowledge in scientific programing and chemical reaction engineering required.
Proficiency in computational modeling, data analysis, coding, developing, and deploying ML (machine learning) models using computer language such as Python, C, C++, C# required.
Strong communication (incl. written and presentation) skillsets.

Nice To Haves

Additional degree in Computer Science, Data Science, Artificial Intelligence, or a related quantitative discipline is a plus.
Recent PhD graduate with strong relevancy is encouraged to apply.
Prior experience using MATLAB/Simulink, AVL Boost/CruiseM, or GT-Suite commercial software is a plus.
Preferred experience in heterogenous catalysis or/and vehicle exhaust emission control aftertreatment research, development, or application.

Responsibilities

Develop and refine kinetic models that incorporate reaction kinetics, mass transfer, and heat transfer fundamentals to guide catalyst screening, system design, and optimization for automotive aftertreatment systems to depict.
Collaborate closely with cross-functional teams, including testing, catalyst catalyst design, and application engineering, to utilize models in experiment design, validation, and performance optimization.
Develop and apply machine learning (ML) models to complement physics-based simulations and accelerate model-driven innovation.
Communicate insights and technical findings effectively to stakeholders, translating complex data into actionable recommendations.