R&D Intern

Required Job Profile:

R&D Intern

OpenFOAM

Key Responsibilities:

• Develop, validate, and implement numerical models to address complex engineering problems in heat and mass transfer, highly viscous flows, reaction engineering, multiphase flows, turbulence, and computational fluid dynamics (CFD).
• Collaborate with cross-functional teams, including experimentalists, researchers, scientists, and project leaders located globally, to address research and development challenges.
• Create models using appropriate numerical methods in OpenFOAM to expand modeling capabilities as required.
• Translate real-world problems into solvable modeling objectives and provide actionable insights.
• Communicate and present project updates to stakeholders across global locations. This will require the candidate to be available for evening / late evening meetings (India time).
• Document results and findings via internal reports and external publications.

Required Skills:

• Extensive hands-on experience with

  OpenFOAM

  software.
• Experience in fluid dynamics, including heat and mass transfer, highly viscous flows, turbulence, and advanced numerical and computational techniques.
• Proficiency in programming languages such as C/C++, Unix, Shell, and Python.
• Strong analytical, diagnostic, and problem-solving skills.
• Self-motivated with a long-term interest in technical growth.

Desired Skills:

• Exposure to commercial CFD software like FLUENT, COMSOL, and STAR CCM+ is highly desirable.
• Ability to break down complex real-world problems into solvable modeling objectives.
• Versatility in adapting to various technology areas; a balanced combination of technical depth and breadth.

Education:

• Students pursuing or fresh graduates with

  PhD, Masters or Dual Degree

  in

  Mechanical Engineering, Aerospace Engineering or Chemical Engineering

  with a strong emphasis on heat and mass transfer, fluid flow and Computational Fluid Dynamics.
• Candidates with at least 2 years of relevant experience in

  OpenFOAM

  solver customization and application are encouraged to apply.