We are looking for a Researcher in automated driving and driver assistance system testing and analysis technologies with a focus on perceived human safety and comfort at Siemens Industry Software.
The position will be based in Leuven, Belgium.Project description
BECAREFUL (“Belgian consortium for EnhanCed sAfety & comfoRt pErception of Future aUtonomous vehicLes) is a Flemish research project funded by VLAIO. Four industrial partners (IVEX, XenomatiX, Septentrio and Siemens) work together with two universities, i.e. KU Leuven MECO and TU Darmstadt.
Within this project Siemens Industry Software (SISW) will be active to further strengthen and extend its competitive position in: i) the 1D, 3D and environment simulation tools, ii) the test methodologies, analysis and data acquisition tools and iii) the design and validation of human-like control algorithms for such automated system.
The specific focus of the TEST RTD team of SISW is a) on new data capturing and system monitoring capabilities b) data analysis and system diagnosis methods specific for perceived safety and comfort and c) verification and validation requirements towards comfortable and safe AVs using Hardware-in-the-Loop (HiL), Human-in-the-Loop (HuiL) and Vehicle-in-the-Loop (ViL) environments.Job description
Within the BECAREFUL project, SISW has an open position that will cooperate with the other RTD team members and project partners for the execution and coordination of the activities in this project.
The candidate will define and select suitable test setups to assess perceived autonomous vehicle (AV) safety and comfort. In a next phase, optimal scenarios and test methodologies need to be defined, created and tested to generate adequate datasets for the objective-subjective correlation of perceived safety and comfort. After measurements, research methods need to be created to automatically detect and manage interesting comfort and safety related events in a multi-sensor (lidar, camera, radar, position, vibration, hum monitoring, etc) dataset and flexible algorithms need to be created to enable the reliable and automated extraction of environment models from raw environment perception sensor data. Finally, subjective-objective correlation models for automated driving must be created to access perceived safety and comfort based on objective data and to be able to evaluate the human-like car controller.
Interact with the project partners and with peers within the RTD team to plan and coordinate the ongoing research activities. Will contribute to reporting of project results towards the funding agencies as well as internal reporting for the dissemination of the results to project engineers and ensure alignment with business objectives.
A suitable candidate:
Siemens Industry Software (SISW), the leading partner in test and mechatronic simulation in the automotive, aerospace, and other advanced manufacturing industries helps customers get better products to market faster. With a unique combination of mechatronic simulation software, testing systems, and engineering services, SISW tunes into mission-critical engineering attributes, ranging from system dynamics, structural integrity, and sound quality to durability, safety, and power consumption. With multi-domain and mechatronic simulation solutions, SISW addresses the complex engineering challenges associated with intelligent system design and model-based systems engineering. Thanks to our technology and over 1250 dedicated people, SISW has become the partner of choice of more than 5,000 manufacturing companies worldwide. SISW operates in over 30 key locations around the world.
Based in Leuven, Belgium, SISW has 30 years of solid engineering experience with an unrivaled track record in developing and marketing technology breakthroughs that address very real customer challenges.
Organization: Digital Industries
Company: Siemens Industry Software NV
Experience Level: Experienced Professional
Job Type: Full-time