Ontology Based Scenario Definition and Detection Intern
1 week geleden
About this position
TNO is seeking a skilled professional to develop and implement an ontology for scenario detection in automated driving vehicles.
The ideal candidate will have experience with data processing, clustering, and classification methods, as well as programming skills and a willingness to learn.
Responsibilities include building an ontology to capture a specified set of scenarios, assessing the graph-based approach for scenario detection, and checking the completeness of existing standards.
The candidate will work with a team of young, enthusiastic, and driven professionals on the Automotive Campus in Helmond.
Key Responsibilities
- Define a challenging set of scenarios in a predefined operational domain
- Familiarize with standards such as ASAM OpenXOntology and ISO
- Implement existing Ontology proposals in a graph modelling framework of choice
- Present results regarding the feasibility and complexity of the graph based approach for scenario detection
Requirements
- Familiarity with statistics for data science
- Experience with data processing, clustering, and classification methods
- Programming skills in a language of choice
- Familiarity with Linux and ROS is beneficial
What we offer
TNO provides a stimulating and supportive work environment, with opportunities for professional development and growth.
The candidate will be supervised and guided throughout the project, with the opportunity to work on a challenging and relevant topic in the field of automated driving.
How to apply
Please submit your application, including your resume and a cover letter, to [insert contact information].
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