Entry-Level – Researcher, Aftertreatment Catalysis

What you'll do

• Design and conduct catalyst evaluation studies, interpret characterization and reactor data, and develop product-relevant recommendations.
• Build experimental datasets and apply AI/ML methods to identify catalyst-performance relationships, prioritize designs, and plan experiments.
• Collaborate with research and engineering teams to validate catalyst concepts and contribute to technical reports, presentations, and publications.

What they ask for

• Pursuing or completing a PhD in Chemistry, Materials Science, Chemical Engineering, Materials Engineering, or a closely related field.
• Must be graduating between August 2026 and June 2027; able to work fulltime, 40 hours per week.
• Research experience in heterogeneous catalysis, reaction engineering, materials chemistry, surface science, or a related area; experience designing and conducting laboratory experiments.
• Working knowledge of catalyst characterization and foundational scientific programming and data analysis; ability to learn and apply AI/ML methods.

Nice to have

• Research experience in three-way catalysts, automotive emissions control, catalyst aging, durability, or related areas.
• Experience or coursework in machine learning, design of experiments, Bayesian optimization, modeling, or scientific informatics.

Tools

FTIR-DRIFTS, BET surface area analysis, transmission electron microscopy, Python, MATLAB, R

AI focus

Apply AI/ML to catalyst design and experimental planning, including feature engineering, regression, classification, clustering, Bayesian optimization, active learning, and uncertainty quantification; validate model-generated hypotheses experimentally.