AI / ML Intern for Computational Fluid Dynamics (6 months)

BETA CAE Greece(1 month ago)

Brussels, BelgiumOnsiteFull TimeIntern$38,775 - $54,292 (estimated)Engineering

About this role

An AI/ML internship at Cadence focused on evaluating machine-learning surrogates for computational fluid dynamics (CFD) in automotive external aerodynamics. The role centers on benchmarking data-only and physics-informed approaches for steady RANS surface predictions and assessing the impact of adding global geometric context. The goal is to determine whether next-generation ML surrogates can significantly accelerate external aerodynamics workflows to enable faster automotive design exploration.

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Required Skills

Python
Machine Learning
CFD
RANS
Turbulence
Geometric Data
Meshes
Point Clouds
Physics-Informed ML
Benchmarking

+1 more

Qualifications

Master's Degree (Related Field)
Bachelor's Degree (Final Year)

About BETA CAE Greece

beta-cae.com

BETA CAE Systems is a leading provider of advanced simulation software solutions that cater to the needs of engineers and researchers in various fields, including automotive, aerospace, and manufacturing. With a comprehensive suite of tools for computer-aided engineering (CAE), BETA empowers users to effectively perform tasks related to finite element analysis (FEA), computational fluid dynamics (CFD), and process automation. Recently acquired by Cadence, the company continues to innovate in areas such as machine learning and predictive analysis, bolstering its commitment to enhancing product design and simulation accuracy.

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