Research Engineer - Data mining and Machine learning

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.

The candidate will use his/her
expertise in data mining and machine learning, in combination with a background
in automated driving. He/she will research novel algorithms to detect driving
patterns, events, and passenger comfort-related metrics based on on-road data
measurements. The outputs of those algorithms will enable the efficient
indexing and searching of large-scale driving datasets. Parameter distributions
associated to common driving scenarios will be derived to obtain deeper
insights in those datasets. The candidate will define and implement prototypes
using tools such as Python, C, C++, databases, etc.

The candidate will interact
with the project partners and with peers within the RTD team to plan and
coordinate the ongoing research activities.  The candidate will contribute
to reporting of project results towards the funding agencies as well as
internal reporting for dissemination of project results to project engineers
and ensure alignment with business objectives.

The candidate will be working
as research engineer in the research team of the Test division in Leuven.

A suitable candidate:

·       Has an MSc. in Engineering (Mechanical, Electromechanical,
Computer Science).

·       Is proficient in spoken and written English in view of
collaboration, presentation and reporting.

·       Skilled in programming languages such as Python,
C, C++

·       Experienced in large scale data processing and
mining.

·       Has experience with automotive applications.

·       Has a creative and critical mindset towards technical
problems.

·       Is motivated to work in a result-oriented way and can
work independently within the team.

Competences that are
considered as an additional asset/advantage:

·       Adequate proficiency in spoken and written Dutch
considering communication with national funding agencies (VLAIO).

·       Ph.D. in a relevant area of expertise.

·       The contract will be for a period of 36 months, preferably in the
timeframe July 2021– July 2024.

Company

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.