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
As the successful candidate, you will join the Security, Reasoning and Validation (SeRVal) group of the SnT, headed by Prof. Yves Le Traon. You will contribute more specifically to a partnership project with Lombard International Assurance S.A. (further referred simply as Lombard). The topic of the project is “Data Science for the Insurance” and it concerns the design and implementation of AI and QA methods to support and improve the operations at Lombard. More precisely, the project investigates concrete use cases for AI and data analytics in order to develop new capabilities such as predictive analysis, client profiling, chatbots, AI-assisted software development, etc. In addition, the project team will assist Lombard in setting up a development pipeline for AI technologies that will enable and facilitate the exploration of other use cases in the future. The project is held in close collaboration with Lombard and, as the successful candidate, you will be expected to spend an appreciable amount of your time in their Luxembourgish premises (located in Luxembourg City, in front of the airport).
The supervision team you will be working with is:
- Dr. Maxime Cordy: research scientist
- Prof. Yves Le Traon: head of SerVal
You will be required to perform the following tasks:
- Carrying out research in the predefined areas
- Disseminating results through scientific publications
- Communicate with the partner to collect requirements and report results
- Implement proof-of-concept software tools
Your Profile
Qualification: The candidate should possess an MSc degree or equivalent in Computer Science or Applied Mathematics (with background in Computer Science).
Experience: The ideal candidate should have some knowledge and/or experience in a number of the following topics:
- Data Analytics
- Data collection and storage pipeline
- Data Science
- Financial technologies
- Machine learning
- Software engineering
Strong programming skills are required (Python and Java). Experience working in life insurance would be a strong asset, and in the financial industry considered as an advantage.
Language Skills: Fluentwritten and verbal communication skills in English are required. French 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 45 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, health insurance and subsidised living and eating
- 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
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 (extendable up to 48 months if required)
- Work Hours: Full Time 40.0 Hours per Week
- Employee and student status
- Location: Kirchberg
- Job Reference: UOL04823
The yearly gross salary for every PhD at the UL is EUR 38.028,96 (full time)
Further Information
Applications should be submitted online and include:
- Full CV, including list of publications and name (and email address, etc.) of three referees
- Transcript of all modules and results from university-level courses taken
- Research statement and topics of particular interest to the candidate (300 words)
- Motivation letter
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.
About the University of Luxembourg
University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The University was founded in 2003 and counts more than 6,700 students and more than 2,000 employees from around the world. The University’s faculties and interdisciplinary centres focus on research in the areas of Computer Science and ICT Security, Materials Science, European and International Law, Finance and Financial Innovation, Education, Contemporary and Digital History. In addition, the University focuses on cross-disciplinary research in the areas of Data Modelling and Simulation as well as Health and System Biomedicine. Times Higher Education ranks the University of Luxembourg #3 worldwide for its “international outlook,” #20 in the Young University Ranking 2021 and among the top 250 universities worldwide.
Further information
For further information, please contact us at maxime.cordy@uni.lu or yves.letraon@uni.lu