Company general 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

Toyota Motor Europe R&D Centre is responsible for:
• Developing vehicles and making concept proposals for European core models.
• Reflecting EU technologies to Toyota vehicles timely by utilizing strong network with European partners.

The Material Engineering division (MED) is part of the R&D group at Toyota Motor Europe Technical Center in Zaventem, Belgium. By utilization of wide and deep material knowledge as well as evaluation & analysis capability, its mission is to conduct research, to develop and to introduce attractive & environment-friendly materials.

The Material Engineering 2 department in MED is responsible for advanced material research for new clean mobility, hydrogen economy, quantum sensors and materials, and carbon neutrality.

Your project

We are looking for an intern to support a research project aimed at improving the accuracy of predicting key transport properties of liquid battery electrolytes. The project integrates open quantum-chemical datasets, machine-learning force-field refinement, and molecular dynamic simulations. You will be responsible for:

• Integrating and analysing open DFT datasets relevant to organic electrolytes and Li-ion chemistry to enrich the ML force-field training process
• Retraining and fine-tuning the ML force-field to reduce prediction errors
• Running molecular dynamics simulations with updated ML force field and evaluating transport properties under protocols
• Comparing simulation output with baseline results to identify gaps, and guide for further dataset selection

Your profile

• You are fluent in English (TME’s business language)
• You have a background computational chemistry, material informatics, data science, or equivalent specialization
• You have good knowledge/experience with molecular dynamics simulations
• You have good knowledge/experience machine learning
• You have good Python skills
• Open personality and flexible team player, hands-on mentality

Starting date: Between April to June 2026

Duration: 12 weeks

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.

The internship must be an integral part of the candidate's academic program, ensuring that they receive academic credits and that it contributes towards the completion of their diploma.

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
- 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.

• You are fluent in English (TME’s business language)
• You have a background computational chemistry, material informatics, data science, or equivalent specialization
• You have good knowledge/experience with molecular dynamics simulations
• You have good knowledge/experience machine learning
• You have good Python skills
• Open personality and flexible team player, hands-on mentality