Material Engineering 2 develops advanced materials for future mobility, focusing on PEC systems that convert CO₂ into useful products. In this role, you build multiscale simulation frameworks combining quantum models, kinetics, and CFD to predict and optimize device performance. You integrate atomistic data into system-level models, improve efficiency, and support EU project goals. The job requires strong programming, simulation expertise, machine learning skills, and a PhD with experience in electrochemistry and multiscale modeling.
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.
Division description
Material Engineering 2 (ME2) is responsible for fundamental research of innovative technological concepts to support Toyota’s future mobility business. Our vision is to be the hub that transforms Europe’s unique, cutting-edge materials technologies into added social value. ME2 fundamental research covers topics which include battery, fuel cell, catalyst and photoelectrochemical (PEC) technologies, targeting the translation of new concepts into optimised engineering applications.
Towards this direction, and in the framework of the EU funded project “PREDICT” (Grant Agreement 101219185), our team is involved in the development and application of multiscale simulations of innovative materials and PEC cell designs which target the conversion of CO2 into key materials.
Your responsibilities
Develop multiscale modeling framework to simulate the entire PEC system, incorporating both the water oxidation at the anode and the CO2 reduction at the cathode
Integrate the results of the atomistic simulations into a Computational Fluid Dynamics (CFD) framework
Predict the overall CO2 conversion efficiency and water oxidation rate of PEC device
Optimize the PEC device design for maximum efficiency
Prepare publications and present results in scientific conferences
Contribute to the preparation of EU project deliverables
You are fluent in English (TME’s business language)
You have experience in programming (C++, Python)
You are an expert in simulation methods related to PEC devices (Quantum Mechanics, kinetic Monte Carlo, CFD)
You have experience with training and applying Machine Learning models
You are familiar with the electrochemical processes of a PEC device
You are familiar with using optimization methods
You have minimum 4 years of experience in developing and/or applying multiscale simulation models
You hold a PhD degree in Chemistry, Physics or Engineering
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.
Duration
3 year contract
Your benefits
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, 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.