Senior Scientist- Fluid and Thermal

Key Responsibilities:

• Develop, validate, and implement numerical models to address complex engineering problems in heat and mass transfer, viscous flows, reaction engineering, combustion, multiphase flows, turbulence, and CFD.
• Collaborate with cross-functional teams globally to address R&D challenges and deliver solutions.
• Create models using numerical methods and software, expanding modeling capabilities as needed.
• Translate real-world problems into solvable modeling objectives, providing actionable insights.
• Communicate and present updates to stakeholders across global locations.
• Document results and findings via internal reports and external publications.
• Stay at the technological forefront in modeling, simulation, and applied mechanics.

Required Skills:

• Expertise in fluid dynamics, including heat and mass transfer, highly viscous flows, reaction engineering, combustion, multiphase flows, turbulence, and numerical techniques.
• Hands-on experience with commercial/open-source CFD software such as FLUENT, Polyflow, Ansys-Thermal, OpenFOAM, COMSOL, SpaceClaim, ANSYS Meshing, MATLAB, and Tecplot.
• Proficiency in programming languages such as C/C++, Unix, Shell, and Python.
• Strong analytical, diagnostic, and problem-solving skills.
• Ability to break down complex real-world problems into solvable modeling objectives.
• Versatility in adapting to various technology areas with a balanced technical depth and breadth.
• Self-motivated with a long-term interest in technical growth.

Desired Skills:

• Familiarity with polymer processing, viscoelastic flow, or injection molding modeling.
• Proficiency in OpenFOAM and commercial tools like MoldFlow or Moldex3D.
• Exposure to AI, ML, and Data Analytics techniques as applied to modeling, simulation, or materials science.
• Familiarity with statistical methods, machine learning frameworks (e.g., TensorFlow, PyTorch), or data visualization tools.
• Experience working in an industrial R&D environment.
• Knowledge of data-driven modeling, optimization, or predictive analytics.
• Ability to integrate physics-based models with data-driven approaches to enhance predictive capabilities.

Soft Skills:

• Highly collaborative, fostering open engagement with colleagues to achieve project goals.
• Strong technical curiosity with a desire to continually learn and grow in diverse technology areas.
• Ability to translate complex technical concepts into simplified explanations for broader audiences.
• Self-driven with the ability to manage independent workstreams effectively.
• Effective communication skills for remote collaboration with global teams via phone and video calls.

Education and Experience:

• PhD, Master's, or Dual Degree in Mechanical Engineering (Fluid and Thermal), Aerospace Engineering, or Chemical Engineering with a strong emphasis on heat and mass transfer, fluid flow, and CFD.
• Graduates from IITs, IISc, or other reputed institutions (including leading foreign universities) are preferred.
• Candidates with 4+ years of relevant experience post-Masters/Dual Degree or 2+ years of relevant experience post-PhD are encouraged to apply.
• Exceptionally bright candidates with lesser experience but a proven track record of excellence and strong capabilities are also invited to apply.