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!
The successful candidate will join the SEDAN group led by Prof. Radu State. They will contribute to a project in collaboration with a major bank.
The candidate will address research topics related to fraud and customer analytics for financial applications. For this task, the candidate will have to identify relevant research work in the academia, propose new approaches and validate them on real data issued in the scope of the project. The work to be addressed requires basic ETL processes, unsupervised and semi-supervised classification, active learning and transfer learning.
But wait, there’s more!
Students can take advantage of several opportunities for growth and career development, from free language classes to career resources and extracurricular activities.
Applications should be submitted online and 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.
For further information, please contact email@example.com.
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. It`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.Meer informatie
|Titel||Research Associate in data analysis|
|Employer||University of Luxembourg|
|Job location||6, rue Richard Coudenhove-Kalergi, L-1359 Luxembourg|
|Gepubliceerd||september 13, 2021|
|Vakgebieden||Algoritmen,   Communicatietechniek,   Data Mining,   Gegevensstructuren,   Databases,   Computertechniek (Computer engineering),   Telecommunicatie-engineering,   Analyse,   Machinaal Leren,   |