Intern

**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 Assignme