Doctoral Candidate (PhD Student) in Cooperative Driving
University of Luxembourg
Esch-sur-Alzette, Luxembourg
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About the SnT

SnT is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services.

We play an instrumental role in Luxembourg by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent.

We’re looking for people driven by excellence, excited about innovation, and looking to make a difference. If this sounds like you, you’ve come to the right place!

Your Role

This is a fully funded PhD position for 3 years (extendable to an additional 4th year). The successful candidate will join the 360Lab, led by Prof.

Raphaël Frank and part of the SEDAN Research Group.

The 360Lab, is the first thematic research laboratory focusing on smart mobility. The purpose of the 360Lab is to serve as an umbrella for research projects sharing common equipment and complementary expertise to conduct strategic and collaborative research in the broader area of mobility innovation.

The topics of interest include, but are not limited to : Autonomous Systems, V2X Communications, Artificial Intelligence for Automated Mobility, Security and Resilience of Automotive Systems, Sensing Technologies, Mobility Modeling and Simulation, and Transportation Planning.

For information, you may refer to our website : https : / / /

The successful candidates will carry out research to pursue a PhD on the following topics :

  • Vehicular Communications
  • Cooperative Driving
  • Edge Computing
  • The position holder will be required to perform the following tasks :

  • Carrying out research in the predefined areas
  • Disseminating research results through scientific publications
  • Participating in proposal drafting
  • Assisting in organization of relevant events
  • Your Profile

  • The candidate should possess a Master degree in Computer Science, Electrical / Computer engineering, or equivalent
  • Knowledge and skills in one or more of the following topics :
  • Mobile / Vehicular Communications
  • Distributed computer systems
  • Cloud / Edge computing
  • Machine Learning
  • Strong analytical and programming skills, especially in Python and C / C++
  • A good knowledge of statistics and probability
  • A good understanding of Vehicular Sensor Technologies (Camera, LiDAR, Radar, etc.)
  • Curiosity driven, willing to constantly learn new things
  • Fluent written and verbal communication skills in English are required
  • Here’s what awaits you at SnT

    But wait, there’s more!

  • Complete picture of the perks we offer
  • Discover our Partnership Programme
  • Download the brochure : Why choose SnT for your PhD?
  • Students can take advantage of several opportunities for growth and career development, from free language classes to career resources and extracurricular activities.

    In Short

  • Contract Type : Fixed Term Contract 36 Month (up to 48 months if required)
  • Work Hours : Full Time 40.0 Hours per Week
  • Employee and student status
  • Location : Kirchberg
  • Job Reference : UOL03765
  • Further Information

    Applications should be submitted online and include :

  • Curriculum Vitae
  • Cover letter
  • All qualified individuals are encouraged

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