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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