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.

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