PhD Position in software engineering for machine-learning systems with application to Smart Grids
University of Luxembourg
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source : Euraxess

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.

The Interdisciplinary Centre for Security, Reliability and Trust (SnT) invites applications from PhD candidates in the general area of software engineering, machine learning systems, simulation-based analysis and smart energy grids.

SnT is carrying out interdisciplinary research in secure, reliable and trustworthy ICT systems and services, often in collaboration with industrial, governmental or international partners.

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 : and

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 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 (1) building decision making systems suggesting, based on consumption-related predictions, relevant actions to preserve the stability of the energy network, (2) 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 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 : 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 :

Software engineering for machine-learning systems

Machine learning

Simulation-based analysis

Multi-objective optimization

Smart energy grids

Data collection and storage pipeline

Strong software development skills are mandatory.

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 Hours per Week

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