About The Opportunity We are looking for four highly motivated Chemical Engineering interns from premier institutes (IITs/NITs) to work on cutting-edge projects in process modelling, simulation, and data science . This internship will focus on integrating mechanistic modelling (CFD, DEM) with modern data-driven approaches (AI/ML) to solve complex engineering problems in fluid and particulate systems. Key Responsibilities Develop and apply Computational Fluid Dynamics (CFD) models for fluid flow, heat, and mass transfer Build and analyze Discrete Element Method (DEM) models for particle and powder systems Create and modify CAD geometries for simulation workflows Write efficient Python scripts for data analysis, model automation, and visualization Apply machine learning and AI techniques for predictive modelling and optimization Integrate physics-based models with data-driven approaches Analyze results and generate actionable insights Collaborate with cross-functional teams and present findings Eligibility Criteria Pursuing B.Tech in Chemical or Mechanical Engineering From IITs, NITs, or equivalent premier institutes Strong foundation in: Transport phenomena Mechanical operations Desired Skills Exposure to one or more of the following: CFD tools: ANSYS Fluent, OpenFOAM, COMSOL DEM tools: EDEM, LIGGGHTS, Rocky CAD software: SolidWorks, AutoCAD Strong programming skills in Python (NumPy, pandas, matplotlib, etc.) Basic understanding of machine learning / AI concepts Strong analytical and problem-solving capability What You Will Gain Hands-on experience with CFD, DEM, and CAD tools Exposure to AI/ML applications in engineering workflows Opportunity to work on industry-relevant, high-impact projects Mentorship from experienced scientists and engineers Potential pathway to full-time opportunities Work Location Assignment: Hybrid Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates. Support Services