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!
As the successful candidate, you will join the Security, Reasoning and Validation (SeRVal) group of the SnT, under the supervision of Prof. Yves Le Traon and Dr. Maxime Cordy, working on a research collaboration between Cebi (worldwide expert company in the manufacturing of components for the automotive and household appliances industry) and SnT for conducting a full data driven process, designing an automated and scalable system to deploy, evaluate, maintain and evolve machine learning models on top of a factory equipped with monitoring capabilities (continuous sensor data collection, aggregation and exploitation). Cebi is investigating to what extent data science and more specifically machine learning could contribute to improve the efficiency of their operations, their internal processes and statistical analyses. Among various use cases, Cebi is particularly interested in conducting an in-depth analysis of production data, predictive maintenance & quality, production lines capacity optimization The ultimate goal is to create a digital twin of the factory for predictive and prescriptive analysis for a better decision-making.
Indeed, data science complemented with Machine Learning (ML) is increasingly used in industry and brings substantial benefits. However, the process to develop, deploy, evaluate and evolve them is more complex and less mastered than for traditional software. This implies that a substantial effort has to be produced for each new ML model/system, and impedes the adoption of this technology.
You will contribute to research work in the area of data science and machine learning for Industry 4.0 factories. Such research concerns the development of theories, techniques and tools to ensure that the deployment of ML systems are secure, efficient and robust. More specifically, the topics that may be explored include (but are not limited to):
The results of the project are expected to apply to multiple use cases. Depending on your profile, the project can focus more on theory, development and/or applications. However, all three aspects are expected to be covered during the project.
The Supervision Team You Will Be Working With Is
You Will Be Required To Perform The Following Tasks
Qualification: The candidate should possess a PhD degree (or equivalent) in Computer Science with strong programming skills.
Experience : The ideal candidate should have some knowledge and/or experience in a number of the following topics:
Strong software development skills are mandatory.
Language Skills: Fluent written and verbal communication skills in English are required.
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 ONLINE 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.
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.
|Title||Research Associate (Postdoc) on data science and machine learning for Industry 4.0 factories|
|Employer||University of Luxembourg|
|Job location||6, rue Richard Coudenhove-Kalergi, L-1359 Luxembourg|
|Published||April 9, 2021|
|Job types||Postdoc  |
|Fields||Artificial Intelligence,   Data Structures,   Programming Languages,   Software Engineering,   Machine Learning  |