Senior Scientist- Fluid and Thermal Corning Technologies

4.0 - 9.0 years

0 - 1 Lacs

Pune, Maharashtra, India

Remote

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.

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