PhD Machine Learning and Simulation-based Analysis Smart Grids

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

• Dr. Maxime Cordy (supervisor): 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
• Survey the scientific literature in the relevant research domains
• 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 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

• Machine learning
• Simulation-based analysis
• Multi-objective optimization
• Smart energy grids
• Software engineering
• Data collection and storage pipeline

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

• 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

• Curriculum Vitae including list of publications and name (and email address, etc) of three referees
• Motivation letter
• Transcript of all modules and results from university-level courses taken
• Research statement and topics of particular interest to the candidate (300 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 (extendable up to 48 months if required)
• Work Hours: Full Time 40.0 Hours per Week
• Location: Campus Kirchberg
• Employee and student status
• Job Reference: UOL06562

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