Toyota Motor Europe PHD Trainee Early-Stage researcher in Vehicle Comfort in Brussel (Zaventem), Belgium

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 300.000 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 offer a dynamic and challenging multicultural work environment, being part of a motivated HR team in which competence and quality play an important role.

This is a temporary employment: start from 31 April 2018 latest, with a duration of 36 months.

You will be contractually employed by Toyota Motor Europe NV/SA (TME) for the full duration.

You will receive a Monthly Living Allowance plus a Mobility Allowance compliant with the applicable EC PEOPLE Marie Curie-ITN general conditions and the TME remuneration policies.

Team/division description:

Vehicle Performance Engineering division (VPE) is part of Research and Development group at Toyota Motor Europe Technical Center in Zaventem, Belgium. Our division is in charge of:

• Identifying market and customer requirements and trends, and turning them into development targets for vehicles, their subsystems, and down to components

• Development of passenger vehicles for European market

• Researching state of the art and beyond state of the art technologies for implementation in future vehicles

The Vehicle Comfort team’s main tasks are: vehicle development and long-term research /pre-development in the area of NVH and Drivability.

Open position for an early-stage researcher (ESR) as part of the H2020 Marie Skłodowska Curie European Training Network PBNv2 (see

Your responsibilities:

Ever more stringent pass by noise regulations in combination with the recent emergence of EV mobility are creating continuous changing vehicle soundscapes & uncharted customer expectations. Future vehicles with reduced powertrain sounds can no longer sustain an appropriate level of informative & emotional feedback with humans out- & inside the vehicle, nor can they guarantee masking of unwanted interior noises. The need therefore rises for new (synthetic) sounds which can provide suitable acoustic feedback for different levels of human-vehicle interaction while maintaining a comfortable acoustic environment. With increasing application of ADAS, the vehicle soundscape will ever more contribute to vehicle safety e.g. by creating a continuous situational awareness for surrounding pedestrians & occupants or by notifying the need for control take-over from the vehicle.

In order to prepare the ideal future vehicle soundscape, your objective is to create neurological models for comfort perception & safety recognition, for acoustic stimuli in relation to other cognitive stimuli (vestibular, visual). By correlating acoustic KPI’s with these models, you can propose & validate a soundscape in a specific case study.

Your profile:

• Master's degree (or equivalent) in engineering, psychology or physics which qualifies for a PhD track application

• Experience in correlating subjective perception with objective data

• Strong affinity with acoustics & mathematics

• Signal processing knowledge (time & frequency domain analysis) is an asset

• Experience in the area of AI (e.g. neural networking) is an asset

• Capable to work in team & independently

• Proficient English capability, ability to work in a multi-cultural

You have a Toyota DNA, this means you:

• wish to develop and you are ready to persevere in order to reach challenging targets.

• seek facts before making recommendations or decisions.

• have strong planning and organization skills

• enjoy working in a team, respecting others.

• have a creative mind and passion for cars. (if relevant for function)

• have excellent communication skills

Job ID: 2017-1973

External Company URL: