Research Associate in data analysis
University of Luxembourg
Esch-sur-Alzette, Luxembourg
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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.

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

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.

Your Profile

  • A PhD degree in Computer Engineering, Computer Science, Data Science or a related field
  • Competitive research record
  • Strong development skills
  • Experience with machine learning algorithms
  • Commitment, team working and a critical mind
  • Fluent written and verbal communication skills in English are mandatory
  • Here’s what awaits you at SnT

    But wait, there’s more!

  • Complete picture of the perks we offer
  • Discover our Partnership Programme
  • 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 2 Year, extendable up to 5 years
  • Work Hours : Full Time 40.0 Hours per Week
  • Location : Kirchberg
  • Job Reference : UOL03573
  • Further Information

    Applications should be submitted online and include :

  • Curriculum Vitae
  • Cover letter
  • All qualified individuals are encouraged

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