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Forma di lavoroAbout 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 Automation and Robotics Research Group, led by Prof. Holger Voos. Additionally, this industrial project will be conducted in partnership with the City of Luxembourg as part of the IPBG ATLAS programme.
This PhD project aims to develop a digital twin (DT) for a new bus depot in Luxembourg City, managing a fleet of electric buses. The DT will simulate operations like bus line planning, charging, maintenance, and parking to improve efficiency and performance. The project will create a detailed digital model, test management strategies, and integrate the DT with existing systems. Outcomes include optimized operational strategies, cost reduction, and enhanced sustainability for e-bus operations.
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)
- Digital Twin Technologies
- Simulation and Optimization Algorithms
- Machine Learning
- Data Analytics and Management
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!
- Complete picture of the perks we offer
- Discover our Partnership Programme
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: UOL06556
The yearly gross salary for every PhD at the UL is EUR 40952 (full time)
For further information, please contact
