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PhD candidate in Big Data Analytics for fraud detection

 University of Luxembourg  Luxembourg Kirchberg
SnT is a recently formed centre carrying out interdisciplinary research in secure, reliable and trustworthy ICT (Information and Communication Technologies) systems and services, often in collaboration with industrial, governmental or international partners. The research work will be performed within a young and enthusiastic SEDAN research group:

  • PhD candidate in Big Data Analytics for fraud detection (M/F)
  • Ref: (Platform)
  • Fixed Term Contract 3 year (CDD), full-time (40 hrs/week)
  • Number of positions: 4
Your Role In the context of a starting collaboration with a partnering company aiming at designing the future of digital economy, we are looking for motivated and enthusiastic PhD candidates, interested in Fintech and associated research challenges. The University of Luxembourg is offering four Ph.D candidate positions at SnT with a focus on the main following activities:
1. Anomaly detection approaches for high velocity multidimensional data for AML (anti-money-laundry)
2. Unsupervised clustering of streaming data
3. Distributed (Map-Reduce) like algorithms for massive online anomaly detection
4. Feature engineering for classification and clustering
5. Smart Contracts and Blockchain related research

The tasks of the Ph.D candidates will consist into performing research analysis as well as designing and evaluating proposed solutions through real implementation in partnership with an industry partner. The candidate will have the opportunity to present his or her results to the international community by participating to worldwide scientific events.

For inquiries please contact: Radu STATE (
Your Profile
  • A master’s degree in computer science
  • A critical mind and openness to technical and scientific challenges
  • Good knowledge in data mining
  • Good development skills in Java and R, Python
  • Background in data mining, ensemble learning, clustering
  • Fluent written and verbal communication skills in English
  • Commitment, team working and a critical mind
We offer The Ph.D. study program is 3 years, starting with a fixed term employment contract of 14 months extendable up to 36 months, on full time basis (40hrs/week). The University offers competitive salaries and is an equal opportunity employer. You will work in an exciting international environment and will have the opportunity to participate in the development of a newly created research centre.
Further Information Applications, written in English should be submitted online and should include:
  • Curriculum Vitae (including your contact address, work experience, publications)
  • Cover letter indicating the research area of interest and your motivation
  • Copy of your Master’s degree diploma
  • Copy of your Master thesis (or url to access it)

Deadline for applications: 20/04/2016
Applications will be considered on receipt therefore applying before the deadline is encouraged.
How to apply:
Send application to
While applying for the job please refer to jobvector and use the following reference number: RS-STR-5013-00-B

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