PhD Candidate in Autonomous Driving Systems

Published on 27/11/2024

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Université du Luxembourg


Working time
Type of contract
Spoken languages
EN
Professional experience
Educational level

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!

This industrial PhD position is part of the "Autonomous systems for Land, Air and Space" (ATLAS) IPGB Programme co-funded by the FNR, SnT and a consortium of industrial partners and administrations, including eBus Competence Center, emile weber, GomSpace, Gradel, IEE, Nexxtlab, Telindus and Ville de Luxembourg. For more information on the ATLAS IPBG Programme, see here: https://edu.lu/wwpy7

Your Role

The successful candidate will join the UBIX Research Group, led by Prof. Raphaël Frank, in collaboration with the CVI2 Research Group, led by Prof. Djamila Aouada. Additionally, this industrial project will be conducted in partnership with the companies emile weber and the eBus Competence Center as part of the IPBG ATLAS Programme.

This PhD project aims to develop and validate an infrastructure-aided automated driving system for electric buses at the main depot of emile weber in Luxembourg. The project will deploy sensors and communication devices at the depot to automate e-bus navigation, enhancing operational efficiency. Instead of retrofitting buses with expensive equipment, the system will utilize depot-installed technology, requiring only a communication module and a drive-by-wire system on the buses. The project's outcome will be a proof-of-concept demonstrating the feasibility of this approach, with potential applications for broader automated driving initiatives.

You will be required to perform the following tasks

  • Carrying out research in the predefined areas
  • Disseminating results through scientific publications
  • Communicate and interact with the partner's team to collect requirements and report results
  • Implement and open-source proof-of-concept software tools
  • Collaborate with other researchers of the IPBG ATLAS programme

Your Profile

Qualification: The candidate should possess an MSc degree or equivalent in Computer Science or any related engineering discipline

Experience: The ideal candidate should have some knowledge and/or experience in several of the following topics (ordered by importance)

  • Automated Driving Systems
  • Sensor Fusion and Localisation
  • Computer Vision
  • Robotics
  • Machine Learning
  • Communication Systems
  • Control Systems

Strong analytical and programming skills are required (Python and C/C++). Prior proven experience in data-driven innovation projects is an asset. Most importantly, you should be curiosity driven and willing to constantly learn new things!

Language Skills:

  • Fluent written and verbal communication skills in English are required
  • French, German or Luxembourgish is a plus

Here's what awaits you at SnT

  • A stimulating learning environment. Here post-docs and professors outnumber PhD students. That translates into access and close collaborations with some of the brightest ICT researchers, giving you solid guidance
  • Exciting infrastructures and unique labs. At SnT's two campuses, our researchers can take a walk on the moon at the LunaLab, build a nanosatellite, or help make autonomous vehicles even better
  • The right place for IMPACT. SnT researchers engage in demand-driven projects. Through our Partnership Programme, we work on projects with more than 55 industry partners
  • Multiple funding sources for your ideas. The University supports researchers to acquire funding from national, European and private sources
  • Competitive salary package. The University offers a 12 month-salary package, over six weeks of paid time off, meal vouchers and health insurance
  • Be part of a multicultural family. At SnT we have more than 60 nationalities. Throughout the year, we organise team-building events, networking activities and more
  • Boost your career. Students can take advantage of several opportunities for growth and career development, from free language classes to career resources and extracurricular activities

But wait, there's more!

How to apply

Applications should include

  • Full CV, including
    • For each degree received or currently enrolled in, the degree, institution name, city, and country, and date (or expected date) of graduation
    • Title and short summary of final thesis
    • List of publications (if any)
    • Name, affiliation, and contact details of at least two recommenders
    • If available, link to GitHub repository including completed open-source projects
  • Transcript of all modules and results from university-level courses taken
  • Cover letter with motivations and topics of particular interest to the candidate (500 words)

All qualified individuals are encouraged to apply.

Early application is highly encouraged, as the applications will be processed upon reception. Please apply formally through the HR system. Applications by email will not be considered.

The University of Luxembourg embraces inclusion and diversity as key values. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff.

General information

  • Contract Type: Fixed Term Contract 36 Month
  • Work Hours: Full Time 40.0 Hours per Week
  • Location: Campus Kirchberg
  • Employee and student status
  • Job Reference: UOL06557

The yearly gross salary for every PhD at the UL is EUR 40952 (full time)

For further information, please contact

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Université du Luxembourg

2, place de l'Université
L-4365 Esch-sur-Alzette
Luxembourg

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PhD Candidate in Autonomous Driving Systems

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