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

- Build and analyze Discrete Element Method (DEM) models for particle and powder systems

- Create and modify CAD geometries for simulation workflows

- Write effective Python scripts for data analysis, model automation, and visualization

- 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 :

- 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

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