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.
SnT invites applications from PhD candidates in the general area of machine learning, simulation-based analysis and smart energy grids.
The Centre is rapidly expanding its research activities and is seeking highly motivated PhD candidates who wish to pursue research in close cooperation with our partners. For further information you may check: www.securityandtrust.lu and http://wwwen.uni.lu/snt/research/serval
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 Creos S.A., the major energy network manager in Luxembourg. The topic of the project is "Secure, Reliable and Predictable Smart Grids" and it concerns the application of machine learning and simulation techniques to predict the impact of customers' consumption on the Luxembourgish smart grid. The project involves designing methods to simulate worst-case scenarios (such as incidents) assessing the resilience of the grid to extreme conditions. The project is held in close collaboration with Creos S.A. and, as one of the successful candidates, you will be expected to program prototype tools showcasing the practical benefits of your research outcomes.
The supervision team you will be working with is
You will be required to perform the following tasks
Your Profile
Qualification: The candidate should possess an MSc degree (or equivalent) in Computer Science, or in Electrical Engineering with strong programming skills and good knowledge of computer science in general
Experience: The ideal candidate should have some knowledge and/or experience in a number of the following topics
Strong software development skills are mandatory, including the ability to develop quality front end and back end
Language Skills: Fluent written and verbal communication skills in English are required. French is a plus
Here's what awaits you at SnT
But wait, there's more!
How to apply
Applications should include
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
The yearly gross salary for every PhD at the UL is EUR 40952 (full time)
The University of Luxembourg, a small-sized institution with an international reach, aims at excellence in research and education.
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