BASF India Careers: Research Scientist Job | Chemical Engineers Apply Now
Are you looking for a high-impact Scientist Job that blends advanced modelling, reaction engineering, and data analytics to shape the future of automotive aftertreatment systems? This Research Scientist – Modelling position is an exceptional opportunity within BASF India Careers, offering an innovative environment for professionals seeking growth in Chemical Engineering Jobs with global-scale influence.
About BASF
BASF Environmental Catalyst and Metal Solutions (ECMS) is a global leader in catalyst technologies and sustainable emissions control solutions. As part of BASF India Careers, ECMS offers world-class opportunities for scientists, engineers, and researchers committed to innovation and environmental progress. The RD&A teams work collaboratively across disciplines to develop high-performance catalytic systems that support cleaner mobility and a more sustainable future.
Job Details
- Position: Research Scientist – Modelling
- Location: Chengalpet Taluk, TN, IN, 603002
Basic Purpose:
BASF Environmental Catalyst and Metal Solutions (ECMS) is a global leader in catalyst technologies and sustainable emissions control solutions. As part of BASF India Careers, ECMS offers world-class opportunities for scientists, engineers, and researchers committed to innovation and environmental progress. The RD&A teams work collaboratively across disciplines to develop high-performance catalytic systems that support cleaner mobility and
a more sustainable future.Roles and Responsibilities:
- Analyze and process data from automotive aftertreatment systems testing to derive insights into performance and reaction mechanisms.
- Develop and refine kinetic models that incorporate reaction kinetics, mass transfer, and heat transfer fundamentals to guide catalyst screening, system design, and optimization.
- Collaborate closely with cross-functional teams—including testing, catalyst design and application —to utilize models in experiment design, validation, and performance optimization.
- Communicate technical findings and insights effectively to stakeholders across the organization.
- Develop and apply machine learning models to complement physics-based simulations and accelerate model-driven innovation.
Requirements:
- Ph.D. in Chemical Engineering or a related discipline, with thesis or research focused on catalysis, reaction kinetics, or chemical reaction engineering. Research experience in automotive emissions control chemistry or related catalysis applications is preferred.
- Demonstrated experience developing and applying kinetic models for catalytic reaction systems (steady-state and transient), integrating reaction kinetics, mass, and heat transfer fundamentals.
- Proficiency in computational modeling and data analysis, including the use of Python or similar programming languages.
- Experience with machine learning model development and data-driven methods to complement physics-based modeling (preferred).
- Strong collaboration skills, with the ability to work effectively in cross-functional, multidisciplinary R&D teams.
- Excellent written and verbal communication skills to convey complex technical concepts clearly to diverse audiences.
