Simulation Engineer Mobile Robots

Autonomous mobile robots have a lot of potential. In line with industry 4.0, complex functions can be automated and we see an increase in flexibility, safety, productivity, quality and/or we reduce costs. Autonomous working functions (e.g. a gripper to pick products) are more flexible when mounted to autonomous driving platforms.

Additional challenges arise w.r.t. the design (e.g. how to ensure a fast and safe collaborative motion). Flanders Make researchers tackle these challenges on industry cases with new system architectures, delivering a working proof of concept.

Simulation of Autonomous Motion Systems

As an expert or young potential in modelling and control of autonomous systems:

• you work together in a team which combines expertise in signal processing, adaptive & learning control, embedded software, robotics, machine learning and artificial intelligence;
• with the team you add new autonomous functionalities to prototypes,
• where you focus on decreasing the development time with virtual validation tools.

More concretely, for a variety of industrial cases (autonomous drones, mobile robots, tractors, forklifts), you will:

• Translate the end-users needs to relevant test cases, key performance indicators and requirements;
• Validate the sensing and control software and optimise the total cost of ownership (reliability, efficiency, flexibility,…) by using virtual validation tools (AirSIM, Unreal, Engine);
• Apply model identification techniques to ensure a valid vehicle model which is used in your simulation framework;
• Link virtual validation tools to hardware to create a HIL (Hardware-In-the-Loop) setup;
• Test the autonomous driving and working software in a virtual simulation environment.

Experienced engineers will also trace and present industrial challenges and research opportunities or coach young engineers and lead projects.

Engineer with analytical skills

You have

• Master's degree or PhD in Engineering (Control, Mechanical, Electrical, Mathematics, ….);
• Experience with ROS and with virtual simulation tools such as Airsim, Gazebo, Unreal;
• Strong insights in vehicle dynamics and kinematics of motion systems;
• Broad knowledge of automation concepts, incl. sensor fusion, state estimation, control and vehicle models.

You are

• Result oriented, responsible, self directing and team player;
• A good communicator;
• Passionate about research and new technologies;
• Eager to learn, eg. multiple simulation tools;
• Strong in analytical skills.

Offer

• A challenging job, working with experts in various fields, using state-of-the-art infrastructure for autonomous systems, machine & vehicle dynamics, predictive control, data analytics, software prototyping;
• An open company culture with short communication lines;
• A multi-stakeholder research context;
• An enthusiastic, international team.