CFD, Combustion & Thermo-Structural Analysis Engineer

Job Description – CFD Combustion & Thermo-Structural Analysis Engineer (R&D)

Position: CFD Combustion & Thermo-Structural Analysis Engineer

Department: Research & Development (R&D)

Experience: 1–2 Years (Industry Research or Post-Doctoral Experience)

Education: Ph.D. in Mechanical Engineering Aerospace Engineering Thermal Sciences Energy

Engineering Computational Engineering Materials Engineering or related discipline from a reputed

institute. Bachelor’s and Master’s degrees from recognized institutions are preferred.

Position Summary

We are seeking a highly motivated CFD Combustion and Thermo-Structural Analysis Engineer to join

our advanced R&D team focused on next-generation ceramic manufacturing technologies. The

candidate will be responsible for developing physics-based simulation models to optimize thermal

processes combustion systems kiln performance material behavior and energy efficiency across

ceramic production operations.

The role involves multidisciplinary modeling combining fluid dynamics heat transfer combustion

thermomechanical behavior materials science and digital engineering approaches. Candidates with

strong computational modeling expertise and a passion for industrial innovation are encouraged to

apply.

Key Responsibilities

CFD & Thermal Analysis

Develop and validate CFD models for:

oIndustrial kilns

oDryers

oBurners

oHeat recovery systems

oAirflow distribution systems

oFlue gas treatment equipment

Simulate:

oTurbulent flows

oConjugate heat transfer

oRadiation heat transfer

oMultiphase flows

oSpecies transport

oGas-solid interactions

Optimize thermal uniformity and temperature distribution in ceramic products.

Perform transient and steady-state thermal simulations.

Combustion Engineering

Model combustion processes involving:

oNatural gas

oHydrogen blends

oBiogas

oAlternative low-carbon fuels

Analyze:

oFlame stability

oFuel-air mixing

oNOx formation

oCO emissions

oCombustion efficiency

Develop reduced-order and high-fidelity combustion models.

Support decarbonization initiatives and energy transition projects.

Thermo-Structural Analysis

Perform coupled thermal-structural simulations for:

oKiln furniture

oRefractory systems

oCeramic products

oHeat exchanger components

oBurner assemblies

Evaluate:

oThermal stresses

oThermal shock resistance

oCreep

oMaterial deformation

Investigate failure mechanisms and propose design improvements.

Digital Engineering & AI Applications

Develop surrogate models using:

oMachine Learning

oPhysics-Informed Neural Networks (PINNs)

oReduced Order Models (ROM)

Apply AI/ML techniques for:

oProcess optimization

oPredictive maintenance

oVirtual sensing

Build digital twins for thermal manufacturing processes.

Collaborate with data scientists and process engineers.

Research & Innovation

Conduct advanced research in:

oHeat transfer enhancement

oCombustion optimization

oAdvanced ceramic processing

oSustainable manufacturing

Publish technical papers and patents.

Participate in collaborative projects with universities and research institutes.

Stay updated on emerging simulation methodologies and AI technologies.

Required Qualifications

Education

Ph.D. in:

oMechanical Engineering

oThermal Engineering

oAerospace Engineering

oEnergy Systems

oComputational Mechanics

oMaterials Engineering

oRelated discipline

Strong academic background in both Bachelor's and Master's studies.

Technical Skills

CFD

Experience with one or more:

ANSYS Fluent

ANSYS CFX

STAR-CCM

OpenFOAM

Knowledge of:

Turbulence modeling

Radiation models

Multiphase flow

Species transport

Combustion modeling

Mesh generation

Structural Analysis

Experience with:

ANSYS Mechanical

ABAQUS

Knowledge of:

Linear and nonlinear FEA

Thermal stress analysis

Contact mechanics

Fracture mechanics

Fatigue and creep

Programming

Proficiency in:

Python

Scientific Computing

Experience with:

Data analytics

Numerical methods

Automation workflows

Desired Competencies

Strong analytical and problem-solving skills.

Ability to convert physical phenomena into computational models.

Scientific writing and technical communication.

Cross-functional collaboration.

Innovation mindset and curiosity.

Ability to work independently on research projects.

Preferred Research Areas

Candidates who have Ph.D. research experience in one or more of the following areas will be highly

preferred:

Industrial combustion

Hydrogen combustion

CFD of furnaces and kilns

Heat transfer enhancement

Thermo-mechanical behavior of ceramics

Refractory engineering

Digital twins

Physics-based AI

Surrogate modeling

Multi-scale simulation

Uncertainty quantification

Key Performance Indicators (KPIs)

CFD model prediction accuracy.

Reduction in kiln fuel consumption.

Improvement in thermal uniformity.

Reduction in product defects.

Simulation-driven design improvements implemented.

Patents publications and innovation disclosures.

Development of AI-enabled predictive models.

Contribution to sustainability and CO reduction targets.