Nanofluid Heat Transfer with CFD & ML

Job Description

PhD Research Position – CFD + Machine Learning | VIT Chennai

Institution: Vellore Institute of Technology (VIT), Chennai
Research Group: Computational Fluid Dynamics (CFD), School of Mechanical Engineering
Research Area: Nanofluids + CFD + Machine Learning
Location: Chennai

Research Focus

The PhD project focuses on improving heat-transfer performance of nanofluids by combining high-fidelity CFD simulations with machine-learning models.

Key research areas include:

Multiphase turbulent-flow modeling
Effects of nanoparticle shape
Nanoparticle dispersion
Convective heat transfer
CFD simulation of fluid flow
ML-based prediction and optimization
Thermal management, energy systems and cooling technologies
Eligibility

Master’s degree holders

M.Tech / M.E / M.Sc
Mechanical Engineering
Thermal Engineering
Applied Mathematics or related fields

Bachelor’s degree holders

B.Tech / B.E
Mechanical Engineering
Aeronautical Engineering
Automobile Engineering
Fellowship
Qualification Fellowship
Master’s ₹31,000/month – Year 1
Master’s ₹35,000/month – Years 2–3
Bachelor’s ₹21,000/month – Years 1–2
Bachelor’s ₹30,000/month – Years 3–4

Duration: 3 years for Master’s entrants / 4 years for Bachelor’s entrants.

Additional support includes a Raman Research Award of up to ₹1 lakh for outstanding publications, along with funding assistance for conference presentations and journal publications.

Preferred Technical Skills
ANSYS Fluent
OpenFOAM
MATLAB
C
Python
CFD modeling and simulation
Machine-learning modeling
Strong technical communication
Important Date Note

The posting states Start Date: June 2025 and an application deadline of March 28, 2025. Those dates have already passed as of August 2026, so this should be treated as an old/expired research announcement, unless VIT has subsequently reopened or reposted the position.