Internship AI driven Computational Fluid Dynamics at Toyota Motor Europe

Zaventem, Flemish Brabant, Belgium -

Full Time

Start Date

Immediate

Expiry Date

10 May, 26

Salary

0.0

Posted On

09 Feb, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Fluid Dynamics, Automotive Aerodynamics, AI Applications, Computational Fluid Dynamics, Python, MATLAB, Machine Learning, TensorFlow, PyTorch, Scikit-learn

Industry

Automotive

Description

In a nutshell Use AI and machine learning to accelerate CFD simulations for vehicle aerodynamics, working hands-on with real data alongside Toyota engineers to shape faster, smarter vehicle design. Company Information TOYOTA is one of the world’s largest automobile manufacturers and a leading global corporation. Founded in 1937. Toyota now sells vehicles in 170 countries and employs over 350.000 people. Based in Brussels, Belgium, and staffed by 2.700 people and more than 60 nationalities, Toyota Motor Europe (TME) handles the wholesale marketing of Toyota and Lexus vehicles, parts & accessories, and manages Toyota’s European R&D, manufacturing, and engineering operations. We are excited to be transforming into a mobility company focusing on bringing even more happiness to our customers through various mobility solutions. Your team and your responsibilities Team/division description The Vehicle Efficiency team is part of the Vehicle Performance Engineering division and is responsible for Aerodynamics, Aeroacoustics, Heating, Ventilation and Air Conditioning performance of Toyota vehicles in Europe. Your project Develop AI-based method to accelerate Computational Fluid Dynamics (CFD) calculations for external aerodynamics Investigate current CFD simulation workflows and identify time-consuming steps Analyse existing datasets to explore potential for AI/ML-based surrogate modelling Develop machine learning models (e.g., neural networks, Gaussian processes) to approximate CFD results Train and validate models using historical simulation data Compare model accuracy and computational efficiency versus traditional CFD Collaborate with aerodynamicists and simulation experts to refine model integration Your Profile You are fluent in English (TME’s business language) You have a strong interest in fluid dynamics and automotive aerodynamics You are curious about AI and its applications in engineering simulations You have basic knowledge of Computational Fluid Dynamics You have experience with Python and/or MATLAB for data analysis You are familiar with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) You are enrolled in a master’s degree in mechanical engineering, Aerospace Engineering, Computer Science, or a related field Duration 6 months Confidentiality Due to business requirement, not all performed projects can be reflected in the internship report. This issue needs to be discussed with candidate/school in advance. It is mandatory that applicants are students for the entire period of the internship. We can only accept students with an EEA or Swiss citizenship (not requiring a work permit or visa to be eligible to perform an internship in Belgium) We offer We offer a dynamic multicultural work environment with broad opportunities to learn every day and exciting career pathways that help you explore different disciplines or areas of expertise. Your benefits Flexible working hours and hybrid working (homeworking, 10 days from abroad); Company restaurant – Warm dishes, salads and desserts daily, including Japanese and traditional Belgian specialties, as well as a vegan/vegetarian option; Sport facilities – Tennis, squash, volleyball, football and softball pitches are available at various Toyota sites; Team building activities and other personnel related events; Programs to support your physical and social well-being. A truly diverse, equitable and inclusive workplace At Toyota Motor Europe, we are committed to providing equal employment opportunity to all. All our recruitment decisions are based on the individual and their qualifications along with the job requirements. The selection process is without regard to nationality, sexual orientation, gender identity or expression, age, religion, ethnicity, disability or other personal characteristics. We do not tolerate harassment or discrimination as our individual experiences and overall diversity is our key strength. Together we have the power to make a positive change and go beyond the ordinary. If you need any specific consideration for the interview process due to disability or any other reason, please let the recruiter know.

Responsibilities

Develop AI-based methods to accelerate Computational Fluid Dynamics (CFD) calculations for vehicle aerodynamics. Collaborate with aerodynamicists and simulation experts to refine model integration.