We are looking for a creative, out-of-the-box thinker who can work independently and collaborate effectively with global, multidisciplinary teams to deliver high-impact, innovative, and life-changing solutions. This role requires expertise in heat and mass transfer, highly viscous flows, reaction engineering, multiphase flows, combustion, turbulence, Computational Fluid Dynamics (CFD), advanced modeling techniques, and strong programming skills.
Key Responsibilities:
- Develop, validate, and implement numerical models to address complex engineering problems in heat and mass transfer, highly viscous flows, reaction engineering, combustion, 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 and software and 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.
- Document results and findings via internal reports and external publications.
- Stay at technological forefront in modeling, simulation, and applied mechanics.
Required Skills:
- Solid expertise in fluid dynamics, including heat and mass transfer, highly viscous flows, reaction engineering, combustion, multiphase flows, turbulence, and advanced numerical and computational techniques.
- Hands-on experience with commercial / opensource CFD softwares, including (but not limited to)
FLUENT, Polyflow, Ansys-Thermal, OpenFOAM, COMSOL, SpaceClaim, ANSYS Meshing Platform, 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; a balanced combination of 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 will be a plus.
- Proficiency in
open-source CFD software
such as OpenFOAM,
and commercial tools like MoldFlow
or Moldex3D,
is highly desirable. - Exposure to
Artificial Intelligence (AI), Machine Learning (ML), and Data Analytics
techniques particularly 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
. - Flexibility to thrive in a dynamic work environment and adapt to changing priorities.
- Ability to integrate physics-based models with data-driven approaches to enhance predictive capabilities.
Soft Skills:
- Highly collaborative and capable of 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 a proven ability to manage independent workstreams.
- Effective communication skills for remote collaboration with global teams via phone and video calls.
Education and Experience:
- A
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 Computational Fluid Dynamics
from IITs, IISc, or other reputed institutions (including leading foreign universities). - Candidates with
more than 4 years of relevant work experience post-Masters/Dual Degree
or more than 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 in relevant areas are also invited to apply
Travel:
-
Opportunities for travel to global locations
to collaborate with diverse and talented teams in research, development, engineering, and manufacturing
, fostering innovation and cross-cultural exchange.
Work Flexibility:
-
Flexible work arrangements
, including the option to work from home up to 2 days per week
, promoting work-life balance and productivity.
