process engineering intern.

 Develop and execute CFDbased Design of Experiments (DOE) to systematically characterize mixing performance in stirred vessels across laboratory, pilot, and commercial scales.

 Build highfidelity CFD models that accurately represent vessel geometries, impeller configurations, and operating conditions used in development and manufacturing.

 Quantify key hydrodynamic and mixing responses to assess mixing performance.

 Generate structured simulation datasets that capture the impact of critical process and design variables on mixing behaviour.

 Develop reducedorder models (ROMs) that enable rapid prediction of mixing and hydrodynamic performance without full CFD simulations.

 Enrolment in a master’s program in Chemical Engineering, Mechanical Engineering, Process Engineering, or a closely related discipline is required.

 A strong interest in fluid dynamics, mixing processes, and transport phenomena relevant to pharmaceutical or chemical engineering is demonstrated.

 Foundational knowledge of Computational Fluid Dynamics (CFD), including numerical methods, turbulence modelling concepts, and interpretation of simulation results, is expected.

 Experience with or exposure to CFD software tools such as ANSYS Fluent or equivalent is gained through coursework, projects, or internships.

 The ability to analyse and interpret simulation data to extract meaningful physical and engineering insights is essential.

 Proficiency in data analysis and visualization using tools such as Python, MATLAB, or equivalent programming environments is demonstrated.

 Clear communication of technical results in written reports and presentations is required.

 Effective collaboration in a multidisciplinary research or engineering environment and a structured, problemsolving mindset are expected.