Internship in robotics & computer vision: develop and test smart city/factory algorithms using Python, ROS, OpenCV & PyTorch. Focus on research, hardware integration & synthetic data.

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.

We are looking for a highly skilled and motivated candidate to work with our AI Research team at Toyota Motor Europe. The goal is to innovate and accelerate the deployment of cutting-edge machine-learning techniques for driving and car monitoring technologies, in collaboration with Toyota Gazoo Racing Europe.

In this role, you will be responsible for developing a machine-learning model that monitors and analyzes time series data in real-time. You will play a crucial role in collaborating with a multidisciplinary team of researchers and engineers to ensure the integration and usability of the model in the Toyota Gazoo Racing eco-system.

If you are a team player who thrives on responsibility, possesses strong analytical skills, and has a deep understanding of time series and recent deep learning methods (transformer architecture), then you are the right person for this challenge. Experience the excitement of teamwork and be inspired by the passion for motorsport and automotive projects.

Expertise

• Machine- and Deep-learning, incl. knowledge of classical algorithms
• Foundation models (knowledge in large vision models, multi-modal models)
• Time series (knowledge in large real-time data would be a plus)
• (Optional) Experience in creating, tuning and deploying deep neural networks in practical environments
• (Optional) Experience in integrating algorithms and testing in real world environments (embedded device and cloud infrastructures)

Hardware/Software

• Python, (extra) C++, MATLAB/Simulink
• Proficient in PyTorch (knowledge in PyTorch Forecasting and TensorRT would be a plus)
• Python libraries: Pandas, Scikit-learn (knowledge in SKTime and Darts would be a plus)
• Proficient in Linux, Docker, Git
• Proficient in Linux environment and HPC experience (preferable AWS and Azure)
• Optional: Experience in embedded architecture, specifically Nvidia Jetson.

Tasks

• • Develop, evaluate and adapt algorithms available in the time series literature
  • Stay updated with the latest advancements in foundation models and time series analysis
  • Implement algorithms and maintain the code repository
  • Build relevant experiment protocols to validate hypothesis and contributions
  • Collaborate with Toyota Motor Europe and Toyota Gazoo Racing colleagues to train, test and evaluate the model (possible trips between Belgium and Germany)
  • Create and support demonstrations using actual systems, prepare field tests
  • Report findings at regular project meetings and prepare findings for publication

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 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.

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.