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Position: PhD Position in software engineering for machine-learning systems with application to Smart Grids
Institution: University of Luxembourg
Location: Luxembourg City, Luxembourg
Duties: 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 (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
Requirements: 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: Fluent written and verbal communication skills in English are required. French is a plus
   
Text: UOL03747 31-Dec-2099 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. 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: 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 (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 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: 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: 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 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 Start date: between 1 st of October 2021 and 1 st of January 2022, upon agreement Employee and student status Location: Kirchberg Internal Title: Doctoral Researcher Job Reference: UOL03747 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 submission is encouraged, applications will be processed upon arrival and closed as soon as relevant candidates are retained (regardless of the desired starting date). 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 The University of Luxembourg aspires to be one of Europe’s most highly regarded universities with a distinctly international and interdisciplinary character . It fosters the cross-fertilisation of research and teaching , is relevant to its country, is known worldwide for its research and teaching in targeted areas, and is establishing itself as an innovative model for contemporary European Higher Education. The University`s core asset is its well-connected world-class academic staff which will attract the most motivated, talented and creative students and young researchers who will learn to enjoy taking up challenges and develop into visionary thinkers able to shape society. Further information For further information, please contact us at maxime.cordy@uni.lu or yves.letraon@uni.lu
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