Scientist - QM Applications for Catalysis Materials

This role focuses on applying quantum mechanics (QM) principles and computational methods to develop and optimize catalytic materials. The ideal candidate will leverage their expertise in computational chemistry and materials science to contribute to innovative solutions in catalysis.

Key Responsibilities:

Develop and implement QM-based models for predicting catalytic performance.
Conduct simulations to understand reaction mechanisms and identify potential catalysts.
Analyze and interpret computational results to guide experimental design.
Collaborate with experimental teams to validate computational predictions.
Stay abreast of the latest advancements in QM and materials science.

Requirements/Qualifications:

Strong background in quantum mechanics, computational chemistry, or a related field.
Experience with density functional theory (DFT) and other computational methods.
Proficiency in using computational chemistry software packages.
Excellent analytical and problem-solving skills.
Ability to work independently and as part of a team.
Experience with catalysis or materials science is a plus.

About the Company:

Aganitha Cognitive Solutions is a technology company focused on applying advanced computational techniques to solve complex problems across various industries. They specialize in leveraging artificial intelligence and machine learning to drive innovation and create impactful solutions.